section ii presentations · 2020-04-13 · mass driver is activated craft begins to accelerate taxi...
TRANSCRIPT
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Section II PresentationsJanuary 30, 2020
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Michael LagrangeJanuary 30, 2020
Assistant Project Manager,Road to PDR, Key Events, Looking Ahead
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PDR Project State, Task Tracking
Task List
Task Description System Deadline
Responsible
Engineer Status Dependencies
Key Events Risk Analysis
version 1.0, Initial Key
events list and formatting APM 2/1/2020 Michael Lagrange In Progress
Event Risk Research, Mission
Completion Success Analysis,
Crew Loss Analysis
February 27 : PDR
• Expectations are needed for project design maturity at PDR so people can work backwards from
that point
• Road to PDR list of PDR deliverables in each vehicles master list, separated by sub-group
Road to PDR
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Key Events – Risk Analysis 1.0
Taxi is supplied from Martian stockpiles
Crew and cargo secured, system checkout
Mass driver is activated craft begins to accelerate
Taxi travels length of mass driver successfully
Taxi reaches required ΔV
Taxi exits mass driver
Taxi exits Martian atmosphere
Excerpt from Mars to Phobos mission
Current Missions with Key Events:
• Leo to Luna
• Luna to Cycler
• Cycler to Mars
• Mars to Phobos
• Phobos to Cycler
• Cycler to Luna
• Cycler to Leo
Future Additions:
• Greater granularity as design
progresses
• Begin research into failure
percentages of events
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Juliann MahonJanuary 30, 2020
Discipline: CAD TeamVehicle and System Group: Tether Sling on
Phobos
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Designs
• Electromagnetic attachment of the tether and the
taxi (left)
• Magnet and counterweight for the tether.
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Visualization of Process
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Dylan Pranger January 30th, 2020
Discipline: CADGroup and System: Mass Driver
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Mass Driver Design
Requirements:
• Launch the Taxi Vehicle to the Cycler
Assumptions/Constraints:
• Acc. Can’t exceed 5 g’s
• Length of driver not constrained
Need to Determine:
• Taxi Size
• Power Requirements/Sizing
• EM Spacing
EM Track
Loading Area/Control Room
Solar Array
Power Storage
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Mass Driver Design
Going Forward:
• Update for Taxi sizing
• EM Spacing
• Track Length/”Bucket Design”
• Update Power System Sizing
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William SandersJanuary 30, 2020
Discipline: CADVehicle System: Taxi
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Preliminary Design
• Three Taxis, each with a passenger cabin and cargo hold
• Taxi meant to doc with the tether, launch from the mass driver, and land
• Will land vertically
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Other Considerations
• Each Taxi holds up to 24 passengers
• Life support will be located below passengers’ feet
• Bathrooms and food prep/storage located in the rear of the cabin
Future Modifications
• Work with tether/cycler team to design
compatible Docking Couple
• Refine Dimensions Especially Engine
• Look into fail-safe/abort systems
• Add attitude control thrusters (where
necessary)
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Aaron EngstromJanuary 29, 2020
CAD - Cycler (Preliminary Design)
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The Problem
We need a fundamental structure with parameters that fit within the bounds of our
requirements:At least .34 Gs most of the trip
At least 2,100 m^3 of space
Protection from the space environment
Food supply, life support, anti-fire, and air purification systems last years
And it would be great if:
Max usable space w/ min weight
Exactly 1 G most of the trip
Simplify the control problem
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The Solution
Sizing Analysis
Overall weight less than 945 tons
Cabin length 114 m
Cabin internal cross section is a 16 m^2
square (with curvature) that rotates
Rigid tether length is at least 75 m
Docking station internal radius is 1 m
Wall thickness is .3 m
Storage section provides a .75 m
walkway w/ 2 m height
To be determined:Accurate M and V of each component
Communications placement (on tether)
Life support placement
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BREAKResume at 2:10
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Nick Oetting January 30, 2020
CommunicationsCommunication Satellites
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Communications
The Problem:
Require 24/7 line of sight from Earth to Moon, Mars, Phobos, and cycler vehicles
→ Communication constellation involving 8 satellites around Earth, the sun, and
Mars.
Two-way HD communication → Mix of RF and laser communication, capable of
data rates up to 1 Gbps.
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Communications Architecture
Laser
communication
to L4 and L5
Earth & Moon / Mars & Phobos Sun Centered View
L5
L4
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Eric SmithJanuary 30, 2020
CommunicationsCommunication Satellites
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Optical System Link Budget
Problem: Communications Link must have sufficient power to support required
data rate.
Solution: A link budget analysis allows us to test if a communications link will
work and how much extra power is available.
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Optical System Link BudgetParameter GEO <=> L4/L5 L4/L5 <=> Mars
Transmitted Power (PT ) 13.010 dBW 13.010 dBW
Transmit Gain (GT) 120.116 dB 130.219 dB
Free Space Loss (LFS) -361.676 dB -372.568 dB
Receive Gain (GR) 120.116 dB 130.219 dB
Other Losses -5.907 dB -5.907 dB
Required Power at
Receiver (PR)
-118.658 dBW -108.555 dBW
Link Margin 4.3168 dB 3.529 dB
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Jacob LeetJanuary 30th, 2020
ControlsSimulation Development
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Simulation of All Trajectories
Problem:
Models of Cycler/Taxi/Satellite trajectories needs to be developed for the
following reasons:
- Determine estimates for dV for trajectory correction due to external forces
(radiation, electromagnetic, etc.)
- Verify Mission Design dV estimates
Process:
- Create accurate model of
sun-planet-satellite system
- Introduce and overlay satellite trajectory
- Develop controller to maintain
satellite trajectory
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MATLAB/SIMULINK Progress
Process:User enters in desired coordinates and velocities, and then
the program will numerically estimate each new position by
hour for about 1.5 years.
Polar coordinates instead of Cartesian will be implemented.
https://ssd.jpl.nasa.gov/horizons.cgi#top
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Yash MishraJanuary 30th, 2020
Controls: SensorsRendezvous Maneuvers and Docking on the
Cycler
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The Problem
Requirements:
• Taxi velocity control to avoid collision into Cycler
• Sense Cycler geometry to dock successfully
• Minimize fuel usage
• Minimize mass, power requirements of sensor while being effective
Assumptions:
• No space debris
• Cycler is of comparable size to the ISS
• No unexpected course adjustments required
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The Solution: TriDAR Sensors
Limitations:
• Yet to account for unexpected external bodies
• Needs to pair with velocity/attitude control sensors for successful Rendezvous
Max Operating
Range
74 km
Imaging Frequency 5 Hz
Accuracy 1 cm/deg
Power 9 W
Mass 1.4 kg
Volume Asked Neptec
Pros Cons
Target-less More power
consumed due
to imaging
(assumption)
More
Information,
Less Data
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Kevin HuangMonth Day, 2020
Human Factors - Artificial Gravity & Human Comfort in dealing with multiple G’s
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Problem: How many G’s can a ‘normal’ human take?-
• Accelerating at more than 1G/sec can result in G-LOC; what was
recommended was 0.1G/sec [1], but it may be possible to go faster.
• Hard to find info how multiple G’s affect people, so used flight pilots as basis.
• Assumed amount of G’s linearly scaled with time before one blackout.
6Gs, 30 seconds info from [2].
Gs Time
before
blackout
1G 180 sec
2G 90 sec
3Gs 60
4Gs 45
5Gs 36
6Gs 30
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Problem: Which Artificial Gravity System to use?
• Symptoms of microgravity
• Little is known on effects of 0-1Gs on humans; probably best to use 1G
Pros-Fire Baton [3] Pros-Stanford Toros
No rotating joints, etc. Design is simple
thrusters that spin/despin the
spacecraft can also be used for thrust
vectoring, BUT can also mess with AG-
generation
Simplest way to solve living/storage
space problem
lots of info on it already, BUT, NASA
design was for a small crew
More info in Backup Slides
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BREAKResume at 2:44
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Walter ManuelJanuary 30, 2020
Discipline: Human FactorsVehicles/Systems: Cycler
Topic: Radiation Shielding
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Problem: Protecting Crew from Radiation
• Space radiation is a serious threat to extended human space exploration [1][2].
• Galactic Cosmic Rays• Low flux ionized particles from outside solar system, relatively steady rate
• Solar Particle Events• Large amount of particles discharged from sun, harder to predict
• Some long-term effects of radiation exposure:• Cataracts
• Increased risk of cancer
• Sterility
• Cardiovascular disease
• Current Exposure Limits [3]: • Average dose for a person = 0.0036 Sv/year.
• International Standards for those working with radioactive material = 0.05 Sv/year
• NASA limit for radiation exposure in low-Earth orbit = 0.50 Sv/year
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Solution: Potential Methods of Radiation Shielding
● “Storm Shelter” – Can be formed by
reorganizing supplies or by having a
designated area [5]
● Protective vests [6]
● Early warning and detection systems [7]
Areal Density [0 g/cm2]
10 20 30
Dose Equivalent [mSv/year]
Liquid
Hydrogen
275 200 180
Boron
Nitride
Nanotube
600 440 360
Polyethlene 640 480 440
Water 660 500 450
Aluminum 875 730 620
Shielding Options for GCR [4]
Shielding Options for SPE
Notes on Materials
● Liquid Hydrogen – ideal, control condition.
● BNNT – Currently still a very new technology.
● Polyethlene – Concerns with strength, heat
resistance.
● Water – Can fluctuate based on crew needs.
● Aluminum – Commonly used for spacecraft.
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Jordan MayerJanuary 30, 2020
Mission DesignCommunication Satellites
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The Problem: Interplanetary Relay Visibility
Current Proposal: Two interplanetary relays at L4 and L5 Lagrange points (Sun-
Earth or Sun-Mars)
• Need to Determine:
• Can Sun block both relays?
• How often are both relays visible?
• Assumptions/Constraints:
• Assume coplanar orbits
• Only consider Sun blocking
• Define ‘blocked by Sun’ as ‘within 3 degrees of Sun from either Earth or Mars’
• Simulate for 15 years; geometry repeats after this (Byrnes, Longuski, & Aldrin)
• Ignore cyclers (for now)
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The Solution: Sun-Mars Lagrange Points Preferable
• Conclusions
• At least one always visible
• Sun-Mars Lagrange points give more
consistent two-sat visibility
• Next Steps
• Assess distances
• Consider using cyclers as relays
• Consider placing relays at both pairs of
Lagrange points
Both relays visible (from
both planets) (% of time):
• Sun-Mars: 94.46%
• Sun-Earth: 89.78%
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Colin MillerJanuary 30, 2020
Mission Design Group: Communication Satellites (Placement of satellites, worst case power scenarios, stability analysis research)
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The Problem: Use Communication Relays to Talk to All Vehicles and Stations in MissionRequirements:
• At least two paths of communications with all
systems
• Constant communication available to all
stations and vehicles (including planets
and moons)
Assumptions:
• Worst case eclipse lengths at stationary orbits
• Perfectly stable orbits (for stationary orbits)
To-Do:
• Locations of all comm sats
• Major orbital perturbations for all comm sats
• Time in eclipse for geostationary and
areostationary
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Results
Worst Case Eclipse Lengths of Stationary Orbits:
Body Semi-Major
Axis (km)
Orbital
Period
(s) [hr]
Eclipse
Length
(s) [hr]
Earth 4.2164×104 8.6164×104
[23.9345][1]
4.1686×103
[1.1579]
Mars 2.0428×104 8.8642×104
[24.6229][2]
4.7129×103
[1.3091]
Orbital Perturbations of Stationary Orbits:
• Mars:• Maximum change in longitude of 0.08
deg/day2 depending on target longitude[3]
• Perturbations 20 times stronger than that
of Earth from harmonics and SRP
• Earth:• Maximum change in longitude of 0.002
deg/day2 depending on target longitude[4]
• Moon interactions were accounted for in
this analysis
What’s Next
● Verify research done on orbital stability analysis
● Perform analysis to determine reliability of cycler vehicle as communications relay
● Verify Mars L4/L5 over Earth L4/L5
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Grace Ness January 30, 2020
Mission Design - Phobos Tether Sling: End Tip Velocity, Tether Length, & Spin-up Time
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Phobos Tether Sling Questions
★ What are the most important design
parameters?
○ How does the velocity affect the
tether length?
■ What length is feasible?
■ Will the length need to
adjust?
○ How does the spin-up time affect
the power required?
■ How much power are we
capable of supplying?
■ How many days can we
allow for spin-up?
★ What is the maximum acceleration
allowed?
○ How many g’s are acceptable for
humans?
■ For how long?
Assumptions:
• Tapered tether
• Taxi Mass: 11.2 Mg
• Power per Area on Phobos: 26 W/m^2
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Power Required:• Max = 11.92 GW
• Min = 0.0437 GW
Mass Ratio:• Max = 476.11
• Min = 3.489
Note: The Mass of Phobos is 1.0603E+13 Mg
Results
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Dean Lontoc January 30, 2020
Power and ThermalTaxi Vehicle Power System
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Taxi Vehicle Power Requirements
Total
Power:
22kW
Human
Factors[1]:
12 kW
Controls[2]:
< 1 kW
Communications[3]:
< 1 kW
Payload:
7 kW
Miscellaneous[4]:
2 kW
[1] AAE 450: Human Factors: Sarah Culp
[2] AAE 450: Controls: Brady Walter
[3] AAE 450: Communications: Adam Wooten
[4] AAE 450: Propulsion: Carly Kren
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Taxi Vehicle Power SolutionProton Exchange Membrane Fuel Cell System
Mass (Mg) Power (kW) Volume (m^3)
1.0876 25 2.748
Component Mass (Mg) Volume
(m^3)
Hydrogen 0.3061 1.771
Oxygen 0.7665 0.736
Fuel Cells 0.0150 0.241
PEMFC
ModulesTaxi
PowerHydrogen
and
Oxygen
Tanks
Hydrogen and Oxygen
Water
Tanks
Water
5 PEMFC Modules,
each generating 5 kW
Mission lasting 14 days
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BREAKResume at 3:20
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Jacob Nunez-KearnyJanuary 30, 2020
Power & ThermalCycler: Power Generation & Storage
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Cycler Power
Problem: Provide power to all systems on-board the cycler
Requirements:
• Cycler systems must have electrical power throughout a cycle
Assumptions:
• Initial sizing scaled from ISS
• Does not include additional propulsion requirements
Objectives:
• Determine metrics for spacecraft power generation and storage
• Initially size cycler arrays and batteries from existing systems
• Research low TRL power systems
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Cycler Power Sizing Estimate
Solution:• Important metrics: W/kg, Wh/kg
• Scaled from ISS• Solar Panel Power: 2.893 GW
• Solar Panel Mass: 36.17 Mg
• Battery Capacity: 6.720 kA-hr
• Battery Mass: 8.064 Mg
• Total mass decreases with TRL
Next Steps:• Need backup power requirement and TRL designation
• Perform solar irradiance calculation during flight to size solar arrays
• Determine power draw of critical systems to size batteries
0
1
2
3
4
5
6
7
8
9
0
5
10
15
20
25
30
35
40
9 7 6 3
Batteries M
ass (
Mg)
Sola
r A
rray
Mass (
Mg)
Technology Readiness Level (TRL)
Cycler Power Mass Vs TRL
Solar Panels Batteries
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Carly KrenJanuary 30, 2020
Propulsion TeamTaxi - Reaction Control Systems (RCS)
Slide: 1 of 8
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The Problem: Determine the RCS systems to be utilized on taxi
Requirements:
• Rendezvous of taxi with cycler
• Orbit trajectory transfer (from cycler to Phobos/Mars orbit)
• Attitude adjustments • from LEO to Moon/Mars, from Moon to Mars/cycler,
from Mars to Phobos/cycler, from Phobos to cycler/Earth,
from cycler to Mars/Phobos
• Reusable
CG CG Example of attitude control on taxi:
= Thrust vector
= Rotation about axis
= Center of gravityCG
Slide: 2 of 8
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The Solution: Orbital Maneuvering System & RCS
He N
Fuel Oxid-
izer
P&ID
He
FuelOxid-
izer
He
P&ID
Fuel Monomethyl Hydrazine
Oxidizer Dinitrogen Tetroxide
Wet Masstot* 6.37 Mg
Volumetank[1]
(propellant)
2.55 m3 (each)
Volumetank[1]
(He)
0.482 m3
Volumetank[1]
(N)
9.83E-4 m3
Thrust [3] 26700 N
Fuel Monomethyl Hydrazine
Oxidizer Dinitrogen Tetroxide
Wet Masstot*
(primary)
1.29 Mg (f), 1.29 Mg (a)
Wet Masstot*
(vernier)
1.27 Mg (f), 1.27 Mg (a)
Volumetank[2]
(propellant)
0.509 m3 (each)
Volumetank[2]
(He)
0.0497 m3 (each)
Thrust [4][5] 3870 N (p), 129 N (v)
Key:
(f) = forward
(a) = aft
(p) = primary
(v) = vernier
OMS RCS
Adapted from Shuttle OrbiterAdapted from Shuttle Orbiter
[1] Dumoulin, J., “Orbital Maneuvering System”, NSTS Shuttle Reference Manual, published online 31 Aug. 2000.
[2] Dumoulin, J., “Reaction Control Systems”, NSTS Shuttle Reference Manual, published online 31 Aug. 2000.
[3] Wade, M. “OME”, Astronautix.
[4] “LR-101 Vernier Engine”, Heroicrelics.
[5] “About: 11D428”, DBpedia.
* See Backup Slides pgs. 4-8 for calculations/codes
Slide: 3 of 8
For each OMS engine For each RCS engine
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Griffin PfaffJanuary 30, 2020
Propulsion – CyclerMain Propulsion System
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The Problem
• Thrust to weight ratio of cycler is .01 N/Mg
• Cannot add outrageous weight
• Long duration operation
• Assume one month of continual use before
refueling
• Accurately complete trajectory requirements
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Solution
X3 Nested Hall
Thruster:• 5.4 N per thruster
• 100 kW
• Xenon propellant
• Will use 10 thrusters per
cycler
• Developed by University
of Michigan, NASA and
the Air Force
Figure based on Hall, Ref. [1].
Mass
(Mg)
Power
(MW)
Volume
(m^3)
Force (N)
5029 1 1708 54
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Arch PleumpanyaJanuary 29, 2020
Propulsion TeamMass Driver
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Mass Driver Fundamentals
Mass driver fundamentals:
- Coilgun
- Convert electric to kinetic energy using electromagnetic coils
- Coil switching is crucial at hypervelocities
- Efficiency can reach 90% [1]
Parameters to consider:
- Track length
- Acceleration
- Power consumption
- System mass
- Charge time per launch
[1] Davis, E., & Warp Drive Metrics LAS Vegas Nv. (2004). Advanced Propulsion Study.
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Determine basic parameters
- Kinematic equations
- 94.34 Mg taxi vehicle
- Assuming 10% of vehicle mass for
suspension system
- Tentative parameters on Mars- 3g’s over 2.8 minutes
- 424 km track
- 3.05 MN magnetic force required
- Tentative parameters on the Moon- 2g’s over 2.0 minutes
- 144 km track
- 2.04 MN magnetic force required
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Steven Lach January 30, 2020
StructuresTether Sling, ED Tether, and Mass Drivers
1
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The Problem: Determine material and overall specifications for tethers
Requirements:
• Launch all taxis directly to all celestial
bodies
• Retain strength properties in a space
environment
Assumptions:
• Calculations are based on given
parameters
Goals:
• Set tether materials
• Determine length and mass of tethers
Given Parameters
Structure Tether Sling ED Tether
Max Delta V
(km/s)
4.314544 5
Taxi Mass (kg) 137,363.4 137,363.4
Max
Acceleration
6G 6G
2
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Solution
Tether Sling on Phobos:
• Material: Dyneema fiber
• Length: 316.264 km
• Mass: 21,126 Mg
Electrodynamic Tether:
• Insulating Material:
Dyneema fiber with an
atomic oxygen resistant
coating
• Length: 424.737 km
• Mass: 90,580.7 Mg*
Tether Sling with Sunlight Exposure (8 Month Taxi)
Material Dyneema Zylon Kevlar Hexcel IM7
Effective
UTS (GPa)
3.325 2.03 2.044 4.82
Density
(kg/m3)
9701 1,5602 1,4502 1,5502
Tether
Mass (Mg)
21,126 17,206,000 7,668,500 32,851
Based on table by Jokic & Longuski2
ED Tether
Comparison
Cylcer/Mars Luna
Delta V (km/s) 5 3.06
Tether Length (km) 424.737 159.083
Tether Mass (Mg)* 90580.7 2163.4
*Not including conducting material mass
3
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Nicki (Anna) LiuJanuary 30th, 2020
StructuresTaxi Vehicle - Layout / Moments of Inertia
Slide 1 of 3
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Problem: Initial Sizing of the Vehicle
Requirements:
Human Factors:Customer: Mission Design:
• 70 passengers
• Reusable
• Able to Provide
Basic Human Needs
• Food and Water
for Cycler
Propulsion:
• Withstand Flight
Acceleration
• Withstand
Structural Loads
• Space for
Propellant
• Minimize Mass• Minimize Mass
• Useable with Tether
and Mass Driver
• Attach Point with
Tether• Safety Options
Slide 2 of 3
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Vehicle Design
ComponentMass
(Mg)
Volume
(m3)
Available
Volume
(m3)
Needed
Support
Structure22.6 N/A N/A
Passenger
Bay [1] [2]
10.5
so far
78 (not all
useable)53 so far
Cargo Bay [1]
(6 months)
12.3
so far78
14.2 so
far
Prop [3] 45 234 19.8
Total 90.3 390 87
Material: Aluminum 2024-T4
Thickness: 2 cm*
[1] AAE 450: Human Factors: Emily Schott, Kait Hauber, Sarah Culp
[2] AAE 450: Power and Thermal: Dean Lontoc
[3] AAE 450: Propulsion: Carly Kren
Moments of Inertia
(Mg * m2)*
Principal Moments
of Inertia (Mg * m2)*
Ixx = 4.18 * 103 Px = 106.4
Iyy = 4.1811 * 103 Py = 1433
Izz = 1.0645 * 102 Pz = 1434
[4]
[4] “Boeing 777-300ER Seat map,” United Airlines, Inc. Available:
https://www.united.com/ual/en/us/fly/travel/inflight/aircraft/777-300.html.
*See Backup Slides for calculations
Slide 3 of 3
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Backup SlidesJanuary 30, 2020
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Backup Slides Juliann Mahon- Sketches
• Sketch for the tether
• Sketch for the approximate motion of the taxi, magnet,
and counterweight for the time when it attaches to
when it detaches
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Backup Slides Juliann Mahon- Code Design
• Plotted out the motion of the taxi and
sling before coding.
• Points for each part
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Backup Slide Juliann Mahon- Code
1. %% AAE 450 tether sling
2. clc
3. clear
4. n = 24;
5. m = 10;
6. tx= ones(1,n*2); %length 48
7. tx2 = linspace(-3,0,n*2); %length 48
8. Z = zeros(1,n);
9.10. X(1) = 1;
11. Y(1) = 0;
12. for f = 2:n*4
13. X(f) = cos(f*pi/n); %96
14. Y(f) = sin(f*pi/n); %96
15. end
16. magnet = [repmat(X,1,3);repmat(Y,1,3)]; % each repmatis 96 long
17. counterweight = [-repmat(X,1,3);-repmat(Y,1,3)]; %each is 96 long
18. taxi = [repmat(tx,1,1),repmat(X,1,1),X(1:2.5*n),-
linspace(0,2,3.5*n);repmat(tx2,1,1),
repmat(Y,1,1),Y(1:2.5*n),ones(1,3.5*n)];
19. tethercenter= [repmat(Z,n*m/2);repmat(Z,n*m/2)];
20.21. figure(1);
22. a4 = animatedline('Color','g','marker','o');
23. a5 = animatedline('Color','r','marker','x');
24. a6 = animatedline('Color','b','marker','*');
25. a7 = animatedline('Color','k','marker','+');
26. a8 = animatedline('Color','k');
27. mm = [-2 2];
28. count =1;
29. axis = [-2,2];
30. j=1;
31. for j = 1:length(magnet)
32. if j ~= 1
33. delete(c(j-count))
34. delete(p)
35. end
36. diffx=[magnet(1,j), counterweight(1,j)];
37. diffy= [magnet(2,j), counterweight(2,j)];
38. addpoints(a4,magnet(1,j),magnet(2,j));
39. if j <61
40. addpoints(a5,(j/60)*counterweight(1,j),(j/60)*counterweight(2,j));
41. else
42. addpoints(a5,counterweight(1,j),counterweight(2,j));
43. end
44. addpoints(a6,taxi(1,j),taxi(2,j));
45. addpoints(a7,tethercenter(1,j),tethercenter(2,j));
46. hold on
47. p = plot(diffx,diffy);
48. c(j) = plot(axis,mm,'Color',[0.35 0.35 0.35]);
49. drawnow
50. if j ~= linspace(0,n*m*m*2,(n*m*10))
51. if j == length(magnet)
52. return
53. end
54. clearpoints(a4);
55. clearpoints(a5);
56. clearpoints(a6);
57. clearpoints(a7);
58. delete(p);
59. end
60. legend('magnet','counterweight', 'taxi', 'tether center', 'tether cord')
61. end
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William Sanders-Passenger Cabin Dimensions
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Nick Oetting - Free Space Loss
System Distance Frequency FSPL
Ground Station
to GEO
35786 km [2] 30 GHz [3]
(K Band)
213.059 dB
GEO to L4/L5 1.496e+8 km [2] 193.545 THz [4] 361.676 dB
L4/L5 to Mars 5.242e+8 km [2]
(WORST CASE)
193.545 THz [4] 372.567 dB
GEO to Moon 348614 km [2] 30 GHz [3] 212.831 dB
Mars to Phobos 9378 km [2] 30 GHz [3] 181.426 dB
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Nick Oetting -Backup Slides
The following equation is used to calculate free space loss across a distance with a certain frequency. It
was converted to decibels as that is more useful to the communications team.
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Nick Oetting References
[1] - https://books.google.com/books?id=L-
ilDwAAQBAJ&pg=PT31&dq=%22free+space%22+%22path+loss%22#v=onepage&q=%22free%20spac
e%22%20%22path%20loss%22&f=false
[2] - https://nssdc.gsfc.nasa.gov/planetary/factsheet/
[3] - https://swfound.org/media/108538/swf_rfi_fact_sheet_2013.pdf
[4] - https://www.nasa.gov/sites/default/files/atoms/files/tglavich_dsoc.pdf
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Eric Smith BACKUP: Required SNR
• Shannon-Hartley theorem
• C = data rate in bit/s
• B = Bandwidth in Hz
• S/N = Signal to Noise Ratio
C = B log2(1+S/N)
S/N = 2C/B-1
Data Rate (C) 1 Gb/s = 1E+9 bit/s
Bandwidth (B) 0.1 nm = 2.998E+18 Hz
S/N 2.312E-10
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Eric Smith BACKUP: Noise from Solar Irradiance
• Solar irradiance @ 1550 nm ~300 mW m-2 nm-1
• Bandwidth = 0.1 nm
• Area of Receiver Aperture = (π DR2 )/4 m2
• N = Solar irradiance * Bandwidth * Area of Receiver Aperture
Telescope Diameter Noise Power, N
160 cm 0.060 W
50 cm 0.006 W
77
Value for Solar irradiance from G. Thuillier, “The Solar Spectral Irradiance From 200 To
2400 nm As Measured By The Solspec Spectrometer From The Atlas and Eureca Missions”
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Eric Smith BACKUP: Other LossesParameter Value
Pointing Loss (LPT) -3 dB
Atmospheric Loss (LATM) 0 dB
Polarization Loss (LPOL) 0 dB
Transmit Optics Efficiency (ηT) -0.969 dB
Aperture Illumination Efficiency (ηa) -0.969 dB
Receive Optics Efficiency (ηR) -0.969 dB
Total: -5.907 dB
These losses are estimates for our system from examples in Hamid Hemmati, “Deep Space Optical
Communications”.
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Eric Smith BACKUP: Code GEO_to_L4L5.m
%% Calculate the Link Budget for Optical Link between GEO Satellites
and L4/L5 Satellites
lambda = 1550e-9;% wavelength in m
d = 1.496e11; %distance between reciever and tranmitter in m
B_nm = 0.1; %Bandwidth in nm
C = 1e9; %Channel Capacity in bits/s
spectRadiance = 0.3;%W/(m^2 nm)
Pt_Watts = 20;
Dt = .5; %transmit aperature diameter in m
Dr = .5; %recive aperature diameter in m
margin = LinkBudget(lambda,d,B_nm,C,spectRadiance,Dt,Dr,Pt_Watts)
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Eric Smith BACKUP: Code L4L5_to_Mars.m
%% Calculate the Link Budget for Optical Link between L4/L5 Satellites
and Mars
lambda = 1550e-9;% wavelength in m
d = 5.242e11; %distance between reciever and tranmitter in m
B_nm = 0.1; %Bandwidth in nm
C = 1e9; %Channel Capacity in bits/s
spectRadiance = 0.3;%W/(m^2 nm)
Pt_Watts = 20;
Dt = 1.6; %transmit aperature diameter in m
Dr = 1.6; %recive aperature diameter in m
margin = LinkBudget(lambda,d,B_nm,C,spectRadiance,Dt,Dr,Pt_Watts)
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Eric Smith BACKGROUND: Code LinkBudget.mfu
nctio
n m
arg
in =
Lin
kB
udget(
lam
bda,d
,B_nm
,C,s
pectR
adia
nce,D
t,D
r,P
t_W
att
s)
%%
Calc
ula
te L
ink B
udget
with g
iven in
puts
% la
mbda =
wavele
ngth
of
carr
ier
% d
= d
ista
nce b
etw
een t
ransm
itte
r and r
eceiv
er
% B
_nm
= B
andw
idth
in
nanom
ete
rs
% C
= r
equired d
ata
rate
in
bits/s
% s
pecR
adia
nce =
spectr
al irra
dia
nce in
W/(
m^2
nm
)
% D
t =
Dia
mete
r of
transm
itte
r apert
ure
% D
r =
Dia
mete
r of
receiv
er
apert
ure
% P
t_W
att
ts =
tra
nsm
itte
r pow
er
in W
att
s
%%
c =
299792458;
%speed o
f lig
ht in
m/s
B =
c/(
B_nm
*1e
-9);
%B
andw
idth
in
Hz
SN
R_re
q =
2^(
C/B
)-1;
%R
equired S
NR
for
giv
en d
ata
rate
and b
andw
idth
Pt =
pow
2db(P
t_W
att
s);
%tr
ansm
it p
ow
er
in W
att
s
At =
Dt^
2 *
pi/4; %
Tra
nsm
itte
r A
pert
ure
Are
a
Ar
= D
r^2 *
pi/4;
% R
eceiv
er
Apert
ure
Are
a
Gt
= a
nte
nnaG
ain
(At,
lam
bda);
% R
eceiv
er
Ante
nna G
ain
in
dB
Gr
= a
nte
nnaG
ain
(Ar,
lam
bda);
% R
eceiv
er
Ante
nna G
ain
in
dB
Lfs
= s
paceLoss(d
,la
mbda);
%F
ree S
pace L
oss in
dB
N =
spectR
adia
nce*A
r*B
_nm
; %
nois
e p
ow
er
in W
att
s
P_re
q =
pow
2db(S
NR
_re
q *
N);
% r
equired p
ow
er
in d
B
eta
_t
= p
ow
2db(.
8);
% tra
nsm
itte
r optics e
ffic
iency in
dB
eta
_a =
pow
2db(.
8);
% a
pert
ure
illu
min
atio
n e
ffic
iency in
dB
L_poin
tin
g =
3;
%dB
estim
ate
for
now
L_atm
= 0
; %
no a
tmosphere
lo
ss b
ecause t
x/r
x b
oth
in
space
L_pol =
0;
%no p
ola
rizatio
n
eta
_r
= p
ow
2db(.
8);
% r
eceiv
er
optics e
ffic
iency in
dB
marg
in =
Pt+
eta
_t+
eta
_a+
Gt-
L_poin
tin
g-L
_atm
-L_pol-Lfs
+eta
_r+
Gr-
P_re
q;
% L
ink
Marg
in in
dB
end
81
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Eric Smith BACKGROUND: Code spaceLoss.m & antennaGain.mfu
nctio
n F
SL
= s
pa
ce
Lo
ss(d
,la
mbd
a)
% C
alc
ula
tes th
e F
ree
Sp
ace
lo
ss in
dB
of a
sig
na
l o
f w
ave
len
gth
la
mb
da
,
% th
at tr
ave
ls th
e d
ista
nce
d.
FS
L =
pow
2db((
4*p
i*d/lam
bda)^
2);
end
fun
ctio
n G
_T
= a
nte
nn
aG
ain
(A_
eff,la
mbd
a)
%%
Co
de
to
ca
lcu
late
ga
in fo
r tr
an
sm
itting
an
ten
na
% W
ritt
en b
y E
ric S
mith
% A
_e
ff =
eff
ective
are
a o
f a
nte
nn
a
% la
mb
da
= w
ave
len
gth
of sig
na
l
% th
e u
nits o
f A
_e
ff m
ust b
e e
qu
al to
th
e
un
its o
f la
mb
da
^2
%%
G_
T =
po
w2
db
(4*p
i*A
_e
ff/(
lam
bda
^2))
;
end
82
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Eric Smith BACKUP: References
Butterfield, A., & Szymanski, J. (2018). Shannon–Hartley theorem. In A
Dictionary of Electronics and Electrical Engineering. : Oxford University
Press. Retrieved 29 Jan. 2020, from
https://www.oxfordreference.com/view/10.1093/acref/9780198725725.001.
0001/acref-9780198725725-e-4260.
Thuillier, Hersé, Labs, Foujols, Peetermans, Gillotay, . . . Mandel. (2003).
The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the
SOLSPEC Spectrometer from the Atlas and Eureca Missions. Solar
Physics, 214(1), 1-22.
Hemmati, H. (2006). Deep space optical communications (Deep-space
communications and navigation series). Hoboken, N.J.: Wiley-Interscience.
83
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Yash Mishra Backup
January 30th, 2020
Controls: SensorsRendezvous Maneuvers and Docking on the
Cycler
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Backup Slides
Other sensing techniques considered:
TCS – Trajectory Control System
SVS – Space Vision System
Other proximity sensors like LIDAR
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Bibliography
• Ruel, S., Luu, T., & Berube, A. (2012). Space shuttle testing of the TriDAR 3D rendezvous and
docking sensor. Journal of Field robotics, 29(4), 535-553.
• English, C., Zhu, S., Smith, C., Ruel, S., & Christie, I. (2005, September). Tridar: A hybrid sensor for
exploiting the complimentary nature of triangulation and LIDAR technologies. In Proceedings of the
8th International Symposium on Artificial Intelligence, Robotics and Automation in Space (Vol. 1).
• Yaskevich, A. (2014). Real time math simulation of contact interaction during spacecraft docking and
berthing. J. Mech. Eng. Autom., 4, 1-15.
• Miele, A., Weeks, M. W., & Ciarcia, M. (2007). Optimal trajectories for spacecraft
rendezvous. Journal of optimization theory and applications, 132(3), 353-376.
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Kevin HuangMonth Day, 2020
Backup SlidesHuman Factors - Artificial Gravity & Human
Comfort in dealing with multiple G’s
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Sources[1] Wrick, B., and Brown, J.R., “Acceleration in Aviation: G-Force,” faa.gov
Available:
https://www.faa.gov/pilots/safety/pilotsafetybrochures/media/acceleration.pdf.
[2] Park, J. S., Choi, J., Kim, J. W., Jeon, S. Y., and Kang, S., “Effects of the
optimal flexor/extensor ratio on G-tolerance,” Journal of physical therapy science
Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080197/.
[3] Joosten, B. Kent, “Artificial Gravity for Human Exploration Missions,”
history.nasa.gov Available: https://history.nasa.gov/DPT/Technology Priorities
Recommendations/Artificial Gravity Status and Options NExT Jul_02.pdf.
[4] Burton, R. R., Alexander, W. C., Davis, J. G., Crisman, R. P., Grissett, J. D.,
and Brady, J. A., “Physical Fitness Program To Enhance Aircrew G Tolerance,”
apps.dtic.mil Available: https://apps.dtic.mil/dtic/tr/fulltext/u2/a204689.pdf.
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Sources (cont.)[5] Clément, G. R., Bukley, A. P., and Paloski, W. H., “Artificial gravity as a
countermeasure for mitigating physiological deconditioning during long-duration
space missions,” Frontiers in systems neuroscience Available:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470275/.
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Optimal Conditions for Experiencing Multiple G’s [4]
The following is a non-exhaustive list.
• Non-smoker
• Has not recently consumed alcohol
• Well-rested
• Well-hydrated
• On a healthy diet
• Preferably not on any medication, particularly self-medication
• Not afflicted with an illness
• Among others
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Required dimensions of vehicle assuming 1G
Description Radius (m) Angular
Velocity
rpm
min radius 50.00 0.443 rad/s 4.228
1 rpm 893.7 0.105 rad/s 1.000
2 rpm 223.4 0.209 rad/s 2.000
3 rpm 99.29 0.314 rad/s 3.000
4 rpm 55.85 0.419 rad/s 4.000
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Required dimensions of vehicle assuming 0.38G
Notes:
• rpm of 2.606 is infeasible as the required radius of the vehicle would then fall
under the previously decided minimum radius of the vehicle so as to prevent
psychological effects from differences in G’s between the head and legs
Description Radius (m) Angular
Velocity
rpm
min radius 50 0.2729 rad/s 2.606
1 rpm 339.6 0.1047 rad/s 1.000
2 rpm 84.90 0.2094 rad/s 2.000
3 rpm 37.73 0.3142 rad/s 3.000
4 rpm 21.22 0.4189 rad/s 4.000
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Equations Used
Variables:
r: radius of spacecraft
G’s: amount of G’s experienced by spacecraft and its passengers
rpm: amount of full rotations the spacecraft does every minute
v: tangential velocity
ω: angular velocity
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Coriolis Effect [5]
“the severity of side effects from Coriolis forces during head movements is gravitational
force-dependent, raising the possibility that an artificial gravity level less than 1 G would
reduce the motion sickness associated with a given rotation rate” (Lackner and DiZio,
2000)
The Coriolis Effect can be diminished by increasing the radius of the spacecraft
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Optimal RPM of Spacecraft
Varying sources say that the max rpm for a spacecraft before dizziness occurs
should be somewhere between 6-10, so a conservative estimate would be 6rpm
at most. It should be noted that ample time must be given to passengers/civilians
before they are able to acclimate to high rpm speeds; in other words, the ramp up
to the final rpm should be done as slowly as possible.
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Walter Manuel – Backup SlideJanuary 30, 2020
Discipline: Human FactorsVehicles/Systems: Cycler
Topic: Radiation Shielding
96
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References
• [1]https://www.nasa.gov/feature/goddard/2019/how-nasa-protects-astronauts-from-space-
radiation-at-moon-mars-solar-cosmic-rays
• [2]https://www.nasa.gov/feature/goddard/real-martians-how-to-protect-astronauts-from-space-
radiation-on-mars
• [3]https://www.nasa.gov/pdf/284273main_Radiation_HS_Mod1.pdf
• [4]https://www.nasa.gov/sites/default/files/atoms/files/niac_2011_phasei_thibeault_radiationshi
eldingmaterials_tagged.pdf
• [5]https://www.popsci.com/this-is-how-orion-astronauts-might-protect-themselves-from-
radiation-storms/
• [6]https://www.lockheedmartin.com/en-us/news/features/2016/stemrad-vest-space.html
• [7]https://three.jsc.nasa.gov/articles/Shielding81109.pdf
97
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Jordan MayerJanuary 30, 2020
Mission DesignCommunication Satellites
Backup Slides
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Appendix A: References
1. Byrnes, D. V., Longuski, J. M., & Aldrin, B. (1993). Cycler Orbit
Between Earth and Mars. Journal of Spacecraft and Rockets, 30(3),
334-336.
2. Simon, J., Bretagnon, P., Chapront, J., Chapront-Touze, M.,
Francou, G., & Laskar, J. (1994). Numerical expressions for
precession formulae and mean elements for the Moon and the
planets. Astronomy and Astrophysics, 282, 663-683.
NOTE: Bretagnon et al. not referenced in slides, but used to obtain Earth
and Mars longitude of ascending node and longitude of perihelion (used
in MATLAB code to obtain results)
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Appendix B: NASA JPL Horizons Data
The following data was obtained via the NASA JPL HORIZONS Web-
Interface (https://ssd.jpl.nasa.gov/horizons.cgi#top) and was used to
determine important characteristics of Earth, Mars, and the Sun,
including initial mean anomaly values for orbit simulation. Input
parameters were as follows:
• Ephemeris type: ELEMENTS
• Target Body:
• Earth [Geocenter] [399]
• Mars [499]
• Center: Sun (body center) [500@10]
• Time Span: Start=2005-01-27, Stop=2005-01-28
• Table Settings: output units=KM-S; CSV format=YES
• Display/Output: plain text
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Appendix B: NASA JPL Horizons Data*******************************************************************************
Revised: July 31, 2013 Earth 399
GEOPHYSICAL PROPERTIES (revised Aug 15, 2018):
Vol. Mean Radius (km) = 6371.01+-0.02 Mass x10^24 (kg)= 5.97219+-0.0006
Equ. radius, km = 6378.137 Mass layers:
Polar axis, km = 6356.752 Atmos = 5.1 x 10^18 kg
Flattening = 1/298.257223563 oceans = 1.4 x 10^21 kg
Density, g/cm^3 = 5.51 crust = 2.6 x 10^22 kg
J2 (IERS 2010) = 0.00108262545 mantle = 4.043 x 10^24 kg
g_p, m/s^2 (polar) = 9.8321863685 outer core = 1.835 x 10^24 kg
g_e, m/s^2 (equatorial) = 9.7803267715 inner core = 9.675 x 10^22 kg
g_o, m/s^2 = 9.82022 Fluid core rad = 3480 km
GM, km^3/s^2 = 398600.435436 Inner core rad = 1215 km
GM 1-sigma, km^3/s^2 = 0.0014 Escape velocity = 11.186 km/s
Rot. Rate (rad/s) = 0.00007292115 Surface area:
Mean sidereal day, hr = 23.9344695944 land = 1.48 x 10^8 km
Mean solar day 2000.0, s = 86400.002 sea = 3.62 x 10^8 km
Mean solar day 1820.0, s = 86400.0 Love no., k2 = 0.299
Moment of inertia = 0.3308 Atm. pressure = 1.0 bar
Mean temperature, K = 270 Volume, km^3 = 1.08321 x 10^12
Mean effect. IR temp, K = 255 Magnetic moment = 0.61 gauss Rp^3
Geometric albedo = 0.367 Vis. mag. V(1,0)= -3.86
Solar Constant (W/m^2) = 1367.6 (mean), 1414 (perihelion), 1322 (aphelion)
HELIOCENTRIC ORBIT CHARACTERISTICS:
Obliquity to orbit, deg = 23.4392911 Sidereal orb period = 1.0000174 y
Orbital speed, km/s = 29.79 Sidereal orb period = 365.25636 d
Mean daily motion, deg/d = 0.9856474 Hill's sphere radius = 234.9
*******************************************************************************
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Appendix B: NASA JPL Horizons Data
*******************************************************************************
Ephemeris / WWW_USER Wed Jan 29 11:03:32 2020 Pasadena, USA / Horizons
*******************************************************************************
Target body name: Earth (399) {source: DE431mx}
Center body name: Sun (10) {source: DE431mx}
Center-site name: BODY CENTER
*******************************************************************************
Start time : A.D. 2005-Jan-27 00:00:00.0000 TDB
Stop time : A.D. 2005-Jan-28 00:00:00.0000 TDB
Step-size : 1440 minutes
*******************************************************************************
Center geodetic : 0.00000000,0.00000000,0.0000000 {E-lon(deg),Lat(deg),Alt(km)}
Center cylindric: 0.00000000,0.00000000,0.0000000 {E-lon(deg),Dxy(km),Dz(km)}
Center radii : 696000.0 x 696000.0 x 696000.0 k{Equator, meridian, pole}
Keplerian GM : 1.3271283864237474E+11 km^3/s^2
Output units : KM-S, deg, Julian Day Number (Tp)
Output type : GEOMETRIC osculating elements
Output format : 10
Reference frame : ICRF/J2000.0
Coordinate systm: Ecliptic and Mean Equinox of Reference Epoch
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Appendix B: NASA JPL Horizons Data*******************************************************************************
JDTDB, Calendar Date (TDB), EC,
QR, IN, OM, W,
Tp, N, MA, TA,
A, AD, PR,
**************************************************************************************
**************************************************************************************
**************************************************************************************
********************************************************************************
$$SOE
2453397.500000000, A.D. 2005-Jan-27 00:00:00.0000, 1.601485446006504E-02,
1.470778413129797E+08, 1.525882844459133E-03, 1.525936412678601E+02,
3.087479127041030E+02, 2.453372217113541E+06, 1.142197077338493E-05,
2.495062571346842E+01, 2.573904212862790E+01, 1.494716073506118E+08,
1.518653733882438E+08, 3.151820356946273E+07,
2453398.500000000, A.D. 2005-Jan-28 00:00:00.0000, 1.611134192723532E-02,
1.470736727225537E+08, 1.856346178777592E-03, 1.479177191477421E+02,
3.132716955654213E+02, 2.453372069503432E+06, 1.142077633460141E-05,
2.608042663135691E+01, 2.690699854299472E+01, 1.494820288005360E+08,
1.518903848785183E+08, 3.152149989220187E+07,
$$EOE
**************************************************************************************
**************************************************************************************
**************************************************************************************
********************************************************************************
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Appendix B: NASA JPL Horizons DataCoordinate system description:
Ecliptic and Mean Equinox of Reference Epoch
Reference epoch: J2000.0
XY-plane: plane of the Earth's orbit at the reference epoch
Note: obliquity of 84381.448 arcseconds wrt ICRF equator
(IAU76)
X-axis : out along ascending node of instantaneous plane of the Earth's
orbit and the Earth's mean equator at the reference epoch
Z-axis : perpendicular to the xy-plane in the directional (+ or -) sense
of Earth's north pole at the reference epoch.
Symbol meaning:
JDTDB Julian Day Number, Barycentric Dynamical Time
EC Eccentricity, e
QR Periapsis distance, q (km)
IN Inclination w.r.t XY-plane, i (degrees)
OM Longitude of Ascending Node, OMEGA, (degrees)
W Argument of Perifocus, w (degrees)
Tp Time of periapsis (Julian Day Number)
N Mean motion, n (degrees/sec)
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Appendix B: NASA JPL Horizons Data
MA Mean anomaly, M (degrees)
TA True anomaly, nu (degrees)
A Semi-major axis, a (km)
AD Apoapsis distance (km)
PR Sidereal orbit period (sec)
Geometric states/elements have no aberrations applied.
Computations by ...
Solar System Dynamics Group, Horizons On-Line Ephemeris System
4800 Oak Grove Drive, Jet Propulsion Laboratory
Pasadena, CA 91109 USA
Information: http://ssd.jpl.nasa.gov/
Connect : telnet://ssd.jpl.nasa.gov:6775 (via browser)
http://ssd.jpl.nasa.gov/?horizons
telnet ssd.jpl.nasa.gov 6775 (via command-line)
Author : [email protected]
******************************************************************************
*
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Appendix B: NASA JPL Horizons Data*******************************************************************************
Revised: June 21, 2016 Mars 499 / 4
PHYSICAL DATA (updated 2019-Oct-29):
Vol. mean radius (km) = 3389.92+-0.04 Density (g/cm^3) = 3.933(5+-4)
Mass x10^23 (kg) = 6.4171 Flattening, f = 1/169.779
Volume (x10^10 km^3) = 16.318 Equatorial radius (km)= 3396.19
Sidereal rot. period = 24.622962 hr Sid. rot. rate, rad/s = 0.0000708822
Mean solar day (sol) = 88775.24415 s Polar gravity m/s^2 = 3.758
Core radius (km) = ~1700 Equ. gravity m/s^2 = 3.71
Geometric Albedo = 0.150
GM (km^3/s^2) = 42828.375214 Mass ratio (Sun/Mars) = 3098703.59
GM 1-sigma (km^3/s^2) = +- 0.00028 Mass of atmosphere, kg= ~ 2.5 x 10^16
Mean temperature (K) = 210 Atmos. pressure (bar) = 0.0056
Obliquity to orbit = 25.19 deg Max. angular diam. = 17.9"
Mean sidereal orb per = 1.88081578 y Visual mag. V(1,0) = -1.52
Mean sidereal orb per = 686.98 d Orbital speed, km/s = 24.13
Hill's sphere rad. Rp = 319.8 Escape speed, km/s = 5.027
Perihelion Aphelion Mean
Solar Constant (W/m^2) 717 493 589
Maximum Planetary IR (W/m^2) 470 315 390
Minimum Planetary IR (W/m^2) 30 30 30
*******************************************************************************
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Appendix B: NASA JPL Horizons Data
*******************************************************************************
Ephemeris / WWW_USER Wed Jan 29 11:09:00 2020 Pasadena, USA / Horizons
*******************************************************************************
Target body name: Mars (499) {source: mar097}
Center body name: Sun (10) {source: mar097}
Center-site name: BODY CENTER
*******************************************************************************
Start time : A.D. 2005-Jan-27 00:00:00.0000 TDB
Stop time : A.D. 2005-Jan-28 00:00:00.0000 TDB
Step-size : 1440 minutes
*******************************************************************************
Center geodetic : 0.00000000,0.00000000,0.0000000 {E-lon(deg),Lat(deg),Alt(km)}
Center cylindric: 0.00000000,0.00000000,0.0000000 {E-lon(deg),Dxy(km),Dz(km)}
Center radii : 696000.0 x 696000.0 x 696000.0 k{Equator, meridian, pole}
Keplerian GM : 1.3271248287031293E+11 km^3/s^2
Output units : KM-S, deg, Julian Day Number (Tp)
Output type : GEOMETRIC osculating elements
Output format : 10
Reference frame : ICRF/J2000.0
Coordinate systm: Ecliptic and Mean Equinox of Reference Epoch
*******************************************************************************
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Appendix B: NASA JPL Horizons Data JDTDB, Calendar Date (TDB), EC,
QR, IN, OM, W,
Tp, N, MA, TA,
A, AD, PR,
**************************************************************************************
**************************************************************************************
**************************************************************************************
********************************************************************************
$$SOE
2453397.500000000, A.D. 2005-Jan-27 00:00:00.0000, 9.341686346997068E-02,
2.066474110927086E+08, 1.849361710600804E+00, 4.953879429753077E+01,
2.866068045070586E+02, 2.453569131659152E+06, 6.065198530558276E-06,
2.700593204934113E+02, 2.594147985828359E+02, 2.279409386365347E+08,
2.492344661803608E+08, 5.935502328344452E+07,
2453398.500000000, A.D. 2005-Jan-28 00:00:00.0000, 9.341707518067797E-02,
2.066472305106390E+08, 1.849361473014427E+00, 4.953879348114902E+01,
2.866071986450913E+02, 2.453569132214481E+06, 6.065204356245016E-06,
2.705829767494479E+02, 2.599277361816943E+02, 2.279407926768783E+08,
2.492343548431175E+08, 5.935496627237750E+07,
$$EOE
********************************************************************************************************
********************************************************************************************************
********************************************************************************************************
**************************
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Appendix B: NASA JPL Horizons Data
Coordinate system description:
Ecliptic and Mean Equinox of Reference Epoch
Reference epoch: J2000.0
XY-plane: plane of the Earth's orbit at the reference epoch
Note: obliquity of 84381.448 arcseconds wrt ICRF equator (IAU76)
X-axis : out along ascending node of instantaneous plane of the Earth's
orbit and the Earth's mean equator at the reference epoch
Z-axis : perpendicular to the xy-plane in the directional (+ or -) sense
of Earth's north pole at the reference epoch.
Symbol meaning:
JDTDB Julian Day Number, Barycentric Dynamical Time
EC Eccentricity, e
QR Periapsis distance, q (km)
IN Inclination w.r.t XY-plane, i (degrees)
OM Longitude of Ascending Node, OMEGA, (degrees)
W Argument of Perifocus, w (degrees)
Tp Time of periapsis (Julian Day Number)
N Mean motion, n (degrees/sec)
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Appendix B: NASA JPL Horizons Data
MA Mean anomaly, M (degrees)
TA True anomaly, nu (degrees)
A Semi-major axis, a (km)
AD Apoapsis distance (km)
PR Sidereal orbit period (sec)
Geometric states/elements have no aberrations applied.
Computations by ...
Solar System Dynamics Group, Horizons On-Line Ephemeris System
4800 Oak Grove Drive, Jet Propulsion Laboratory
Pasadena, CA 91109 USA
Information: http://ssd.jpl.nasa.gov/
Connect : telnet://ssd.jpl.nasa.gov:6775 (via browser)
http://ssd.jpl.nasa.gov/?horizons
telnet ssd.jpl.nasa.gov 6775 (via command-line)
Author : [email protected]
*******************************************************************************
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Appendix C: MATLAB Code
The following slides contain MATLAB code used to generate the plots and results
in this presentation. Note that the function “kep2car.m” was written by Prof.
Carolin Frueh of Purdue University’s Department of Aeronautical and
Astronautical Engineering. All other scripts and functions were written by Jordan
Mayer.
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Appendix C: MATLAB Code%%%%%
% AAE 450: Spacecraft Design
%
% Determine during which periods the Sun may interfere
with optical
% communications between Earth, Mars, and the Sun-Mars L4
and L5 Lagrange
% points.
%
% Author: Jordan Mayer (Mission Design)
% Created: 01/27/2020
% Last Modified: 01/27/2020
%%%%%
%% Preliminary setup
clear all; close all; format compact;
AU_to_km = 149597870.7; % astronomical unit
% Set constants from NASA JPL HORIZONS Web-Interface for
January 27, 2005
% Gravitational parameters (GM), km^3/s^2
mu_Sun = 1.3271283864237474e11;
mu_Earth = 398600.435436;
mu_Mars = 42828.375214;
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Appendix C: MATLAB Code
% True anomalies on 01/27/2005, deg
nu_0_Earth = 2.573904212862790*10;
nu_0_Mars = 2.594147985828359*10^2;
% Mean anomalies on 01/27/2005, deg
M_0_Earth = 2.495062571346842*10;
M_0_Mars = 2.700593204934113*10^2;
% Semimajor axes, km (assume constant)
a_Earth = 1.494716073506118e8;
a_Mars = 2.279409386365347e8;
% Eccentricities, dimensionless
e_Earth = 1.611134192723532e-2;
e_Mars = 9.341686346997068e-2;
% Mean motions, rad/s
n_Earth = sqrt(mu_Sun/a_Earth^3);
n_Mars = sqrt(mu_Sun/a_Mars^3);
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Appendix C: MATLAB Code% Set values from Simon et. al
% Longitudes of ascending nodes, deg
OMEGA_Earth = 174.87317577;
OMEGA_Mars = 49.55809321;
% Longitudes of perihelion, deg
omega_bar_Earth = 102.93734808;
omega_bar_Mars = 336.06023395;
% Arguments of perihelion, deg
omega_Earth = omega_bar_Earth - OMEGA_Earth;
omega_Mars = omega_bar_Mars - OMEGA_Mars;
%% Generate position data
% Set up time steps
yr_to_day = 365;
day_to_hr = 24;
hr_to_sec = 60*60;
yr_to_sec = yr_to_day*day_to_hr*hr_to_sec;
t_f = 15*yr_to_sec;
% simulate for 15 years (from Byrnes, Longuski, and Aldrin: "The inertial
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Appendix C: MATLAB Code% geometry repeats every 15 years")
n_data = 10000; % number of data points
t_list = linspace(0.0,t_f,n_data).'; % all times, sec
% Allocate data arrays
% 2-D position arrays
r_list_Earth = zeros(n_data, 2);
r_list_Mars = zeros(n_data, 2);
r_list_ML4 = zeros(n_data, 2);
r_list_ML5 = zeros(n_data, 2);
r_list_EL4 = zeros(n_data, 2);
r_list_EL5 = zeros(n_data, 2);
% Visibility arrays (0 if visible, 1 if not)
% ML: Mars-Sun Lagrange point
% EL: Earth-Sun Lagrange point
ML4_block_list = zeros(n_data, 1);
ML5_block_list = zeros(n_data, 1);
Mars_block_list = zeros(n_data, 1);
EL4_block_list = zeros(n_data, 1);
EL5_block_list = zeros(n_data, 1);
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Appendix C: MATLAB Code
% Minimum distance arrays
min_dist_Earth_ML = zeros(n_data, 1); % Earth to closest ML4/ML5
min_dist_Mars_EL = zeros(n_data, 1); % Mars to closest EL4/EL5
min_dist_EL_ML = zeros(n_data, 1);
% Shortest distance between EL4/EL5 and ML4/ML5
% Prepare Keplerian element arrays
% [semimajor axis (km), eccentricity, inclination (deg), longitude of
% ascending node (deg), argument of periapsis (deg), mean anomaly (deg)]
kep_Earth = [a_Earth, e_Earth, 0.0, OMEGA_Earth, omega_Earth, M_0_Earth];
kep_Mars = [a_Mars, e_Mars, 0.0, OMEGA_Mars, omega_Mars, M_0_Mars];
% Compute position data
for k = 1:n_data
delta_t = t_list(k);
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Appendix C: MATLAB Code% Compute mean anomalies, deg
M_Earth = update_M(M_0_Earth, n_Earth, delta_t);
M_Mars = update_M(M_0_Mars, n_Mars, delta_t);
% Update Keplerian element arrays
kep_Earth(6) = M_Earth;
kep_Mars(6) = M_Mars;
% Compute Cartesian vectors [position (km), velocity (km)]
car_Earth = kep2car(kep_Earth, mu_Sun, 'deg');
car_Mars = kep2car(kep_Mars, mu_Sun, 'deg');
if car_Earth(3) > 0 || car_Mars(3) > 0
error('3-D?');
end
% Get 3-D position vectors
r_Earth = car_Earth(1:3);
r_Mars = car_Mars(1:3);
r_ML4 = rot_mat_3(deg2rad(60)) * r_Mars;
r_ML5 = rot_mat_3(deg2rad(-60)) * r_Mars;
r_EL4 = rot_mat_3(deg2rad(60)) * r_Earth;
r_EL5 = rot_mat_3(deg2rad(-60)) * r_Earth;
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Appendix C: MATLAB Code
% Compute angles to Sun, as viewed from Earth
r_Earth_Sun = -r_Earth;
r_Earth_ML4 = r_ML4 - r_Earth;
r_Earth_Mars = r_Mars - r_Earth;
r_Earth_ML5 = r_ML5 - r_Earth;
r_Earth_EL4 = r_EL4 - r_Earth;
r_Earth_EL5 = r_EL5 - r_Earth;
theta_ML4_Earth = angle_between(r_Earth_Sun, r_Earth_ML4);
theta_ML5_Earth = angle_between(r_Earth_Sun, r_Earth_ML5);
theta_Mars = angle_between(r_Earth_Sun, r_Earth_Mars);
theta_EL4_Earth = angle_between(r_Earth_Sun, r_Earth_EL4);
theta_EL5_Earth = angle_between(r_Earth_Sun, r_Earth_EL5);
% Compute angles to Sun, as viewed from Mars
r_Mars_Sun = -r_Mars;
r_Mars_ML4 = r_ML4 - r_Mars;
r_Mars_Earth = -r_Earth_Mars;
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Appendix C: MATLAB Code
r_Mars_ML5 = r_ML5 - r_Mars;
r_Mars_EL4 = r_EL4 - r_Mars;
r_Mars_EL5 = r_EL5 - r_Mars;
theta_ML4_Mars = angle_between(r_Mars_Sun, r_Mars_ML4);
theta_ML5_Mars = angle_between(r_Mars_Sun, r_Mars_ML5);
theta_Earth = angle_between(r_Mars_Sun, r_Mars_Earth);
theta_EL4_Mars = angle_between(r_Mars_Sun, r_Mars_EL4);
theta_EL5_Mars = angle_between(r_Mars_Sun, r_Mars_EL5);
% Store 2-D positions
r_list_Earth(k,:) = r_Earth(1:2);
r_list_Mars(k,:) = r_Mars(1:2);
r_list_ML4(k,:) = r_ML4(1:2);
r_list_ML5(k,:) = r_ML5(1:2);
r_list_EL4(k,:) = r_EL4(1:2);
r_list_EL5(k,:) = r_EL5(1:2);
% Determine if any communications are blocked by the Sun
if theta_ML4_Earth <= 3 || theta_ML4_Mars <= 3
ML4_block_list(k) = 1;
end
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Appendix C: MATLAB Codeif theta_ML5_Earth <= 3 || theta_ML5_Mars <= 3
ML5_block_list(k) = 2;
end
if theta_Mars <= 3 || theta_Earth <= 3
Mars_block_list(k) = 3;
end
if theta_EL4_Earth <= 3 || theta_EL4_Mars <= 3
EL4_block_list(k) = 1;
end
if theta_EL5_Earth <= 3 || theta_EL5_Mars <= 3
EL5_block_list(k) = 2;
end
if (ML4_block_list(k) == 1) && (ML5_block_list(k) == 2)
fprintf('Uh oh! Both Mars Lagrange points blocked!');
end
if (EL4_block_list(k) == 1) && (EL5_block_list(k) == 2)
fprintf('Uh oh! Both Earth Lagrange points blocked!');
end
% Compute and store closest distances
dist_Earth_ML4 = norm(r_Earth_ML4);
dist_Earth_ML5 = norm(r_Earth_ML5);
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Appendix C: MATLAB Codedist_Mars_EL4 = norm(r_Mars_EL4);
dist_Mars_EL5 = norm(r_Mars_EL5);
dist_EL4_ML4 = norm(r_ML4 - r_EL4);
dist_EL4_ML5 = norm(r_ML5 - r_EL4);
dist_EL5_ML4 = norm(r_ML4 - r_EL5);
dist_EL5_ML5 = norm(r_ML5 - r_EL5);
min_dist_Earth_ML(k) = min([dist_Earth_ML4, dist_Earth_ML5]);
min_dist_Mars_EL(k) = min([dist_Mars_EL4, dist_Mars_EL5]);
min_dist_EL_ML(k) = min([dist_EL4_ML4, dist_EL4_ML5, ...
dist_EL5_ML4, dist_EL5_ML5]);
end
%% Plot results
close all;
yr_list = t_list ./ yr_to_sec;
% Plot visibility of Lagrange points
figure(2);
subplot(2,1,1);
msize = 4;
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Appendix C: MATLAB Codefunction [car] = kep2car(kep,GM,atype)
% Name: kep2car.m
% Author: C. Frueh
% Purpose
% To compute the Cartesian position/velocity given Keplerian elements.
% Inputs
% kep - Keplerian elements, (6 x 1) vector with order semi-major axis,
% eccentricity, inclination, right-ascension of the ascending
% node, argument of periapse, mean anomaly
% mu - value of the gravitational parameter of the central body
% atype - units of the angles in the Keplerian elements, 'rad' or 'deg'
% Outputs
% car - Cartesian position/velocity
% Dependencies
% None
sma = kep(1);
ecc = kep(2);
inc = kep(3);
raan = kep(4);
argp = kep(5);
manm = kep(6);
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Appendix C: MATLAB Codeif(strcmp(atype,'deg'))
inc = inc*(pi/180.0);
raan = raan*(pi/180.0);
argp = argp*(pi/180.0);
manm = manm*(pi/180.0);
end
itermax = 10;
toler = 1.0D-12;
delta = 1.0;
eanm = manm;
iter = 0;
while((iter < itermax) && (abs(delta) > toler))
iter = iter + 1;
delta = ((eanm - ecc*sin(eanm) - manm)/(1.0 - ecc*cos(eanm)));
eanm = eanm - delta;
end
tanm = 2.0*atan(sqrt((1.0+ecc)/(1.0-ecc))*tan(0.5*eanm));
% if ~isreal(tanm)
% keyboard
% end
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Appendix C: MATLAB Coder = sma*(1.0-ecc*cos(eanm));
slr = sma*(1.0-ecc*ecc);
angm = sqrt(GM*slr);
vr = (angm/slr)*ecc*sin(tanm);
vf = (angm/slr)*(1.0+ecc*cos(tanm));
argl = argp + tanm;
cos_s = cos(argl);
sin_s = sin(argl);
cos_i = cos(inc);
sin_i = sin(inc);
cos_W = cos(raan);
sin_W = sin(raan);
R3s = [cos_s,sin_s,0.0;-sin_s,cos_s,0.0;0.0,0.0,1.0];
R1i = [1.0,0.0,0.0;0.0,cos_i,sin_i;0.0,-sin_i,cos_i];
R3W = [cos_W,sin_W,0.0;-sin_W,cos_W,0.0;0.0,0.0,1.0];
T = R3s*R1i*R3W;
x = T(1,1)*r;
y = T(1,2)*r;
z = T(1,3)*r;
xd = T(1,1)*vr + T(2,1)*vf;
yd = T(1,2)*vr + T(2,2)*vf;
zd = T(1,3)*vr + T(2,3)*vf;
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Appendix C: MATLAB Codecar = [x;y;z;xd;yd;zd];
end
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Appendix C: MATLAB Code%%%%%
% Generate rotation matrix for rotation about 3rd (z) axis.
%
% Inputs:
% theta: rotation angle, rad
%
% Outputs:
% R3: rotation matrix, to be used in the format of
% r_prime = R3*r, where r is a 3-element column vector
%
% Author: Jordan Mayer
% Created: 10/01/2019
% Last Modified: 01/29/2020
%%%%%
function R3 = rot_mat_3(theta)
R3 = [cos(theta), -sin(theta), 0; sin(theta), cos(theta), 0; 0, 0, 1];
end
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Appendix C: MATLAB Code%%%%%
% Determine angle between two vectors, with quadrant checks!
%
% Inputs:
% r1, r2: two 3-element vectors (column or row, but must be consistent)
%
% Outputs:
% theta: angle between r1 and r2 vectors, deg
%%%%%
function [theta] = angle_between(r1, r2)
r1_dot_r2 = dot(r1, r2);
r1_r2 = norm(r1)*norm(r2);
r1_cross_r2 = norm(cross(r1, r2));
theta1 = acosd(r1_dot_r2/r1_r2);
theta2 = -theta1; % cos(x) = cos(-x)
theta3 = asind(r1_cross_r2/r1_r2);
theta4 = 180 - theta3; % sin(x) = sin(180 - x)
theta1 = bound_180(theta1);
theta2 = bound_180(theta2);
theta3 = bound_180(theta3);
theta4 = bound_180(theta4);
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Appendix C: MATLAB Codewiggle = 0.00001;
if abs(theta1 - theta3) < wiggle || abs(theta1 - theta4) < wiggle
theta = theta1;
elseif abs(theta2 - theta3) < wiggle || abs(theta2 - theta4) < wiggle
theta = theta2;
else
fprintf('\ntheta1 = %.4f\n', theta1);
fprintf('theta2 = %.4f\n', theta2);
fprintf('theta3 = %.4f\n', theta3);
fprintf('theta4 = %.4f\n', theta4);
error('no consistent theta');
end
end
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Grace Ness
Backup Slides - 1
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Grace Ness
Backup Slides - 2
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Grace Ness
Backup Slides - 3
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Grace Ness
Backup Slides - 4
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Grace Ness
Backup Slides - 5
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Dean Lontoc January 30, 2020
Backup Slides
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Assumptions
• Tank sizing and weight is linearly scaled
• Assume flight computer is the same as Orion: IBM PowerPC 750 flight computer
• Each takes 7 watts to power, three flight computers totals 21 watts for controls
• Hydrogen and Oxygen flow rate of PEMFC the same as space shuttle fuel cells. Commercial
PEMFC’s do not give flow rates because they assume fuel cells run in atmosphere
• Mission lasts 14 days
• Cargo will have 7 kW available for use: same as the space shuttle
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Oxygen and Hydrogen Requirements
14 days = 336 hours
Hydrogen flow rate: 0.6 pounds per hour
Oxygen flow rate: 4 pounds per hour
Hydrogen requirement = 0.6 * 336 = 201.6 pounds = 91.44 kg
Oxygen requirement = 4*336 = 1344 pounds = 609.62 kg
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Tank sizing
92 H2 weight/ 216 tank dry weight = 201.6 H2/X
X = 473.32 pounds
X = 214.69 kg
781 O2 weight/ 201 tank dry weight = 1344 O2/X
X = 345.89 pounds
X = 156.87 kg
26094.09 O2 tank dimensions /781 = X/1344
X = 67356.83 in^3
X = 1.104 m^3
49321.11/92 = X/201.6
X = 108077.56 in^3
X = 1.771 m^3
Total mass calculated by adding empty tank mass, fuel and catalyst mass, and the mass of the fuel cell
modules.
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Proton Exchange Membrane Fuel Cell
• Special type of hydrogen fuel cell
• Basing fuel cell performance off of Horizon 5000 Watt Fuel Cell
• Mass: Each stack is 30 kg so 5 stacks will be 150 kg
• Volume: 0.350 x 0.212 x 0.650 meters per stack
• Most commercial fuel cell manufacturers focus on the automobile industry, so they do not provide
numbers for oxygen flow rate because they assume fuel cell operates in atmosphere
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How PEM Fuel Cells Work
Simply put, the PEM generates power by having hydrogen protons pass through a membrane while the
electrons travel in an external circuit which generates electricity. The hydrogen bonds to the oxygen
catalyst which then produces water as a byproduct.
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Water Production
Water is a byproduct of the reaction within the fuel cell
Moles = mass of substance/ molar mass
Molar mass oxygen: 15.999 g/mol
Mass of oxygen: 609620 g
Moles: 38103.63 mol
Molar mass hydrogen: 1.00784 g/mol
Mass of hydrogen: 91440 g
Moles: 90728.69 mol
Oxygen is limiting factor therefore mass of H2O = 38103.63 moles * 18 g/mol = 685.865 kg
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Why PEMFC?
• No moving parts
• Lower weight and volume compared to regular other types of fuel cells
• The proton exchange membrane allows for lower operating temperatures because it allows protons
to pass through smoothly while blocking electrons that can build up and create excess heat
• Fast startup time in case of emergencies, under 30 seconds
• More consistent power generation compared to solar panels
• Less mass and volume than nuclear reactors
• More efficient power generation compared to alkaline fuel cells used in space shuttle
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SourcesA Basic Overview of Fuel Cell Technology Available: https://americanhistory.si.edu/fuelcells/basics.htm.
Aggarwal, V., “Solar Panel Efficiency: What Panels Are Most Efficient?: EnergySage,” Solar News Available:
https://news.energysage.com/what-are-the-most-efficient-solar-panels-on-the-market/.
Dunbar, B., “Fuel Cell Use in the Space Shuttle,” NASA Available:
https://www.nasa.gov/topics/technology/hydrogen/fc_shuttle.html.
“ELECTRICAL POWER SYSTEM,” NASA Available: https://science.ksc.nasa.gov/shuttle/technology/sts-newsref/sts-
eps.html.
“Horizon 5000W PEM Fuel Cell SKU: FCS-C5000. Categories: Education, Fuel Cell Stacks, Fuel Cells, Kits. Brands:
Horizon. Price: $19,141.00,” fuelcellearth.com Available: https://www.fuelcellearth.com/fuel-cell-products/horizon-5000w-
pem-fuel-cell/.
“HSF - The Shuttle,” NASA Available: https://spaceflight.nasa.gov/shuttle/reference/shutref/orbiter/eps/pwrplants.html.
“NASA's Orion spacecraft runs on a 12 year-old single-core processor from the iBook G3,” Geek.com Available:
https://www.geek.com/chips/nasas-orion-spacecraft-runs-on-a-12-year-old-single-core-processor-from-the-ibook-g3-
1611132/.
“Types of Fuel Cells,” Energy.gov Available: https://www.energy.gov/eere/fuelcells/types-fuel-cells.
YouTube Available: https://www.youtube.com/watch?v=_MsG9REFN3s.
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Jacob Nunez-Kearny - BackupJanuary 30, 2020
Power & ThermalCycler: Power Generation & Storage
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Cycler Power Sizing Data
Data for solar panel and space battery systems based on existing spacecraft and
upcoming technologies.
Solar Panels ISS Dawn Cycler
Power(kW) 248[2] 10[2] 2893
Specific Power (W/kg) 27[2] 80[2] 80
Mass (Mg) 6696 800 36.167
Batteries ISS Ni-H ISS Li-Ion Cycler
Capacity (Amp-hr) 24[1] 48[1] 6720
Specific Energy (Wh/kg) 40[1] 100[1] 100
Mass (Mg) 2400 2364 8.064
TRL Sizing 9 7 6 3
Panels-Specific Power
(W/kg) 80 150[3] 150[3] 300[3]
Panels-Mass (Mg) 36.1666667 19.2888889 19.2888889 9.644444
Batteries-Specific Energy
(Wh/kg) 100 140 200 350
Batteries-Mass (Mg) 8.064 5.76 4.032 2.304
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References
[1] Surampudi, S. (2011). Overview of the Space Power Conversion and Energy Storage Technologies.
Jet Propulsion Laboratory, Pasadena.
[2] Beauchamp, P. (2015). Solar Power and Energy Storage for Planetary Missions. Jet Propulsion
Laboratory, Pasadena.
[3] Surampudi, S., et al. (2017). Solar Power Technologies for Future Planetary Science Missions. Jet
Propulsion Laboratory, Pasadena.
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Carly Kren – Backup SlidesJanuary 30, 2020
Propulsion TeamTaxi - Reaction Control Systems (RCS)
Slide: 4 of 8
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Mass calculations: Hand calcs
Slide: 5 of 8
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Mass calculations: Hand calcs (continued)
Slide: 6 of 8
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Mass calculations: MATLAB code
Slide: 7 of 8
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Delta V calculations: MATLAB code
Slide: 8 of 8
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Griffin Pfaff – Backup SlidesJanuary 30, 2020
Propulsion – CyclerMain Propulsion System
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Codecyclermass = 5039; %Mg
taximass = 60; %Mg
totalmass = cyclermass + 3*taximass; %Mg
forceneed = totalmass * .01; %N
x3thrust = 5.4; %N
numx3 = 10;
fullthrust = x3thrust * numx3; %N
excessthrust = fullthrust - forceneed %N
x3power = 100; %kw
fullpower = x3power * numx3 %kw
proptime = 1/12; %year
propflow = 3900; %cm/min
propvolume = propflow * 525600 * proptime * numx3 / 1000000 %m^3
propmass = propvolume * 2.942; %Mg
x3mass = .23; %Mg
totalmass = propmass + x3mass*10 %Mg
excessthrust =
1.8100
fullpower =
1000
propvolume =
1.7082e+03
propmass =
5.0255e+03
totalmass =
5.0278e+03
Output:
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References
[1] http://pepl.engin.umich.edu/pdf/2017_Hall_thesis.pdf
[2] http://pepl.engin.umich.edu/pdf/IEPC-2017-228.pdf
[3] http://pepl.engin.umich.edu/pdf/AIAA-2018-4418.pdf
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Arch PleumpanyaBackup Slides
January 29, 2020
Propulsion TeamMass Driver
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Kinematics
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clear
clc
close all
set(0,'DefaultLineLineWidth',1.5);
%
%% Kinematic equations on mass driver
g = 9.81; % Earth's gravitational acceleration [m/s2]
V_esc_mars = 5000; % Mars' escape velocity [m/s]
V_esc_moon = 2380; % Moon's escape velocity [m/s]
x_track_moon = linspace(50000,200000); % possible range of driver length on the Moon
[m]
acc_moon = V_esc_moon^2/2./x_track_moon; % vehicle acceleration on the Moon [m/s2]
delta_t_moon = V_esc_moon./acc_moon; % launch duration on the Moon [s]
x_track_mars = linspace(100000,500000); % possible range of driver length on Mars [m]
acc_mars = V_esc_mars^2/2./x_track_mars; % vehicle acceleration on Mars [m/s2]
delta_t_mars = V_esc_mars./acc_mars; % launch duration on Mars [s]
%
%% Calculate force required at chose acceleration
m_taxi = 94.34e3; % estimated vehicle mass [kg]
F_req_moon = 1.1*m_taxi*acc_g_moon*g; % force required on the Moon [N]
acc_g_mars = 3; % chosen acceleration limit on Mars [9.81 m/s2]
F_req_mars = 1.1*m_taxi*acc_g_mars*g; % force required on Mars [N]
acc_g_moon = 2; % chosen acceleration limit on the Moon [9.81 m/s2]
%
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% Plots
figure(1)
subplot(211)
yyaxis left
plot(x_track_mars/1000,acc_mars/9.81)
ylabel('acceleration [g]','fontsize',12)
yyaxis right
plot(x_track_mars/1000,delta_t_mars/60,'--')
ylabel('duration [min]','fontsize',12)
title('G-Force and Duration on Taxi Vehicle on the Moon','fontsize',16)
xlabel('track distance [km]','fontsize',12)
legend('acceleration','duration','Location','best')
grid on
subplot(212)
yyaxis left
plot(x_track_moon/1000,acc_moon/9.81)
ylabel('acceleration [g]','fontsize',12)
yyaxis right
plot(x_track_moon/1000,delta_t_moon/60,'--')
ylabel('duration [min]','fontsize',12)
title('G-Force and Duration on Taxi Vehicle on Mars','fontsize',16)
xlabel('track distance [km]','fontsize',12)
legend('acceleration','duration','Location','best')
grid on
%
% end
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Steven Lach Slide 2 Table
• Max Delta V: Given from mission design team
• Taxi Mass: Given from taxi team
• Max Acceleration: Given from Human Factors team
4
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Steven Lach Slide 3 Table
• Effective UTS: Calculated by factoring in environmental strength
loss. Kevlar3, Zylon4, IM75, Dyneema was estimated to have a
strength loss of 5% because specific information could not be found
• Tether Mass and Length: Tether Code attached on back.
Mathematical models used in code2
• Delta V given by Mission Design Team
5
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Steven Lach Code
6
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Steven Lach References
1. “Ultra High molecular Weight Polyethylene fiber from DSM
Dyneema,” eurofibers, CIS YA100, January 2010
2. Jokic, M.D., Longuski, J.M., “Design of Tether Sling for Human
Transportation Systems Between Earth and Mars,” Journal of
Spacecraft and Rockets, Vol. 41, No. 6, November-December 2004,
pp. 1010-1015
3. Finckenor, M.M., “Comparison of High-Performance Fiber Materials
Properties in Simulated and Actual Space Environments,”
NASA/TM-2017-219634, January 2017
4. “Zylon®(PBO fiber) Technical Information (2005),” Toyobo Co.,
LTD., F0739K, 2005
5. Kumar, B.G., Singh, R.P., Nakamura, T., “Degradation of Carbon
Fiber-Reinforced Epoxy Composites by Ultraviolet Radiation and
Condensation,” Journal of Composite Materials, Vol. 36, No. 24,
2002, pp. 2713-2733
7
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Nicki Liu Backup – Solidworks
Our Moments of Inertia:
• Ixx = 4.1801 * 106 kg/m2
• Iyy = 4.1811 * 106 kg/m2
• Izz = 1.0645 * 105 kg/m2
• Center of Mass is located 11.02m out of a 25m body
Space Shuttle Moments of Inertia for comparison: [Chyu, Cavin, & Erickson]
• Ixx = 1.1829 * 108 kg/m2
• Iyy = 8.8239 * 108 kg/m2
• Izz = 9.0297 * 108 kg/m2
• Ixz = 2.8748 * 107 kg/m2
• Center of Mass is located at 22m out of 33m body
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• Aluminum 2024 – T4 [“Aluminum 2024-T4”]
• Composite Materials [“Applied Nanostructured Solutions PC/ABS - Carbon NanoStructure Chopped Fiber Composite”]
Nicki Liu Backup – Material Properties
Mechanical Properties Metric English Comments
Ultimate Tensile Strength >= 395 MPa >= 57300 psi Wire, rod, bar and shapes
Yield Tensile Strength >= 260 MPa >= 37700 psi Wire, rod, bar and shapes
Elongation at Break >= 10 % >= 10 % Wire, rod, and bar (rolled or
cold finished)
Modulus of Elasticity 73.1 GPa 10600 ksi
Fatigue Strength 138 MPa 20000 psi completely reversed stress
Melting Point 502 - 638 °C 935 - 1180 °F
Thermal Conductivity 121 W/m-K 840 BTU-in/hr-ft²-°F
Mechanical Properties Metric English Comments
Bulk Density 0.150 g/cc 0.00542 lb/in³
Ultimate Tensile Strength 100 MPa 14500 psi ASTM D638
Tensile Modulus 8.96 GPa 1300 ksi ASTM D638
Flexural Strength 140 MPa 20300 psi ASTM D790
Flexural Modulus 8.76 GPa 1270 ksi ASTM D790
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Nicki Liu Backup – Thickness [8]
Additional thickness
requirements due to
asteroid and space
debris protection.
Additional thickness
requirements also due
to a safety factor of 2 or
higher, which is
generally used for
pressure vessels. [7]
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Nicki Liu Backup – Works Sited[1] Aluminum Association, Inc. (n.d.). Aluminum 2024-T4. Retrieved January 29, 2020, from
http://www.matweb.com/search/DataSheet.aspx?MatGUID=67d8cd7c00a04ba29b618484f7ff7524&ckck=1
[2] Applied Nanostructured Solutions. (n.d.). Applied Nanostructured Solutions PC/ABS - Carbon NanoStructure
Chopped Fiber Composite. Retrieved January 29, 2020, from
http://www.matweb.com/search/DataSheet.aspx?MatGUID=ad234c236a8a4424af3b3ad164120167
[3] Boeing. (n.d.). Boeing 777-300ER Seat map. Retrieved January 29, 2020, from
https://www.united.com/ual/en/us/fly/travel/inflight/aircraft/777-300.html
[4] Chyu, W. J., Cavin, R. K., & Erickson, L. L. (1978). Static and Dynamic Stability Analysis of the Space Shuttle
Vehicle-Orbiter . NASA Technical Paper 1179. Retrieved from
https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19780012233.pdf
[5] Khan, A., Subhan, M., & Ali, W. (2020, January). Retrieved from https://www.slideshare.net/subhan90/skin-
stringersinanaircraft-56785765
[6] Steeve, B. (2012). STS-133 Space Shuttle External Tank Intertank Stringer Crack Investigation Stress Analysis.
53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference≪BR≫20th
AIAA/ASME/AHS Adaptive Structures Conference≪BR≫14th AIAA. doi: 10.2514/6.2012-1777
[7] “Technical Standard for High Pressure Gas Equipment for Space Use,” Japan Aerospace Exploration Agency,
Mar. 2016.
[8] Tsutsui, W. (n.d.). Failure Criterion. AAE 3500. West Lafayette.
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BACKUP SLIDES Jacob Leet
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MATLAB CODE (acceleration function)function [accel] = forcefunc(m,G,pos)
%% SETUP
DoF = 3;
index = 1:length(pos)/DoF;
F = zeros(length(pos),1);
accel = zeros(length(pos),1);
%% FORCE CALCULATION
for i = index
for j = index
% Doesn't calculate force on itself
if i == j
continue
end
% CALCULATES DISTANCE BETWEEN BODIES
% fprintf('x coordinate %d %d | y coordinate %d %d\n',pos(2*j-1),pos(2*i-1),pos(2*j),pos(2*i))
dx = pos(DoF*i-2) - pos(DoF*j-2);
dy = pos(DoF*i-1) - pos(DoF*j-1);
dz = pos(DoF*i) - pos(DoF*j);
r = sqrt(dx^2+dy^2 + dz^2);
% DETERMINE DIRECTION OF FORCE
dirx = -dx/r;
diry = -dy/r;
dirz = -dz/r;
% DETERMINE NET FORCE
Fnet = G*m(i)*m(j)/r^2;
% SEPARATES FORCE INTO COMPONENTS
Fx = Fnet*dirx;
Fy = Fnet*diry;
Fz = Fnet*dirz;
% fprintf('%d %d | %d %d\n',i,j,Fx,Fy)
% SUMS FORCES
F(DoF*i-2) = F(DoF*i-2) + Fx;
F(DoF*i-1) = F(DoF*i-1) + Fy;
F(DoF*i) = F(DoF*i) + Fz;
end
end
%% ACCELERATION CALCULATION
for i = index
for j = 0:(DoF-1)
accel(DoF*i-1 + j-1) = F(DoF*i-1 + j-1) / m(i);
end
end
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MATLAB CODE (setup menu)function ParameterSetup()
%% GENERAL INITIAL CONDITIONS
% INITIAL VALUES
bodies = {'SUN', 'EARTH', 'MOON', 'MARS', 'PHOBOS', 'SATELLITE'};
mass = {'1.9885e30', '5.9736e24', '7.346e22', '6.41710e23', '1.06590e16', '5000'};
radius = {'696340000', '6378100', '1738100', '3396200', '11100', '10'};
init_pos = {'0','0','0', '147090000000','0','0', '147451836243','0','32579494', '206512303194','0','6670309540', '206516452294','0','6678717532',
'1000000000','0','0'};
init_vel = {'0','0','0', '0','30290','0', '0','30290','1082', '0','26500','0', '0','26500','2139', '0','2e5','0'};
%% WINDOW DIMENSIONS
close all
box_height = 350;
box_width = 1000;
xbox = 110;
ybox = 180;
%% WINDOW GENERATION
h.f = figure('units','pixels','position',[xbox,ybox,box_width,box_height],...
'toolbar','none','menu','none');
%% TITLE CREATION
% TITLE DIMENSIONS
th = 28;
tw = 485;
tx =(box_width-tw)/2;
ty = box_height - th;
% TITLE DISPLAY
uicontrol('style','text','units','pixels', ...
'position',[tx,ty,tw,th],'string', ...
'TRAJECTORY SIMULATION MENU',...
'FontWeight','Bold','FontSize',20,'FontAngle','italic');
%% GENERATE EDIT BOXES
% BOX SET UP
th = 30;
tw = 105;
tx = 110;
ty = 275;
for i = 1:6
% MASS
h.m(i) = uicontrol('style','edit','units','pixels', ...
'position',[tx,ty - th*i,tw,th],'string', ...
mass{i}, ...
'FontSize',10);
% GEOMETRY
h.r(i) = uicontrol('style','edit','units','pixels', ...
'position',[tx+1*tw,ty - th*i,tw,th],'string', ...
radius{i}, ...
'FontSize',10);
% INITIAL POSITIONS
h.pos(3*i-2) = uicontrol('style','edit','units','pixels', ...
'position',[tx+2*tw,ty - th*i,tw,th],'string', ...
init_pos{3*i-2}, ...
'FontSize',10);
h.pos(3*i-1) = uicontrol('style','edit','units','pixels', ...
'position',[tx+3*tw,ty - th*i,tw,th],'string', ...
init_pos{3*i-1}, ...
'FontSize',10);
h.pos(3*i) = uicontrol('style','edit','units','pixels', ...
'position',[tx+4*tw,ty - th*i,tw,th],'string', ...
init_pos{3*i}, ...
'FontSize',10);
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% INITIAL VELOCITIES
h.vel(3*i-2) = uicontrol('style','edit','units','pixels', ...
'position',[tx+5*tw,ty - th*i,tw,th],'string', ...
init_vel{3*i-2}, ...
'FontSize',10);
h.vel(3*i-1) = uicontrol('style','edit','units','pixels', ...
'position',[tx+6*tw,ty - th*i,tw,th],'string', ...
init_vel{3*i-1}, ...
'FontSize',10);
h.vel(3*i) = uicontrol('style','edit','units','pixels', ...
'position',[tx+7*tw,ty - th*i,tw,th],'string', ...
init_vel{3*i}, ...
'FontSize',10);
end
%% HEADER SETUP
fsize = 13;
ty = 278;
th = 20;
uicontrol('style','text','units','pixels', ...
'position',[tx,ty,tw,th],'string', ...
'MASS',...
'FontWeight','Bold','FontSize',fsize,'FontAngle','italic')
uicontrol('style','text','units','pixels', ...
'position',[tx+1*tw,ty,tw,th],'string', ...
'RADIUS',...
'FontWeight','Bold','FontSize',fsize,'FontAngle','italic')
uicontrol('style','text','units','pixels', ...
'position',[tx+2*tw,ty,tw,th],'string', ...
'X-POS',...
'FontWeight','Bold','FontSize',fsize,'FontAngle','italic')
uicontrol('style','text','units','pixels', ...
'position',[tx+3*tw,ty,tw,th],'string', ...
'Y-POS',...
'FontWeight','Bold','FontSize',fsize,'FontAngle','italic')
MATLAB CODE (setup menu)uicontrol('style','text','units','pixels', ...
'position',[tx+4*tw,ty,tw,th],'string', ...
'Z-POS',...
'FontWeight','Bold','FontSize',fsize,'FontAngle','italic')
uicontrol('style','text','units','pixels', ...
'position',[tx+5*tw,ty,tw,th],'string', ...
'X-VEL',...
'FontWeight','Bold','FontSize',fsize,'FontAngle','italic')
uicontrol('style','text','units','pixels', ...
'position',[tx+6*tw,ty,tw,th],'string', ...
'Y-VEL',...
'FontWeight','Bold','FontSize',fsize,'FontAngle','italic')
uicontrol('style','text','units','pixels', ...
'position',[tx+7*tw,ty,tw,th],'string', ...
'Z-VEL',...
'FontWeight','Bold','FontSize',fsize,'FontAngle','italic')
%% COLUMN SETUP
th = 30;
for i = 1:6
uicontrol('style','text','units','pixels', ...
'position',[tx-tw,-8+ty-i*th,tw,th],'string', ...
bodies(i),...
'FontWeight','Bold','FontSize',12,'FontAngle','italic')
end
%% NOTE
th = 58;
tw = 315;
tx =(box_width-tw)/5-30;
ty = 25;
h.p = uicontrol('style','text','units','pixels',...
'position',[tx,ty,tw,th],'string','Units for mass are in kilogram. Units for position & radius are in meters.
Units for velocity are in meters per second.',...
'callback',@s_call,'FontWeight','Bold','FontSize',12);
%% BUTTON CREATION
th = 28;
tw = 365;
tx =(box_width-tw)/4*3;
ty = 35;
h.p = uicontrol('style','pushbutton','units','pixels',...
'position',[tx,ty,tw,th],'string','RUN SIMULATION',...
'callback',@s_call,'FontWeight','Bold','FontSize',12);
uiwait(h.f)
%% BUTTON FUNCTION
function s_call(varargin)
m = str2double(get(h.m,'String'));
assignin('base','m',m)
pos = str2double(get(h.pos,'String'));
assignin('base','x0',pos)
vel = str2double(get(h.vel,'String'));
assignin('base','v0',vel)
assignin('base','G',6.67408e-11)
assignin('base','bodies',bodies)
radius = str2double(radius);
assignin('base','radius',radius)
close
end
end
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Colin Miller -BackupJanuary 30, 2020
Mission Design Group: Communication Satellites (Placement of satellites, worst case power scenarios, stability analysis research)
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Eclipse Code
function [time] = AAE450_EclipseLengthStat(r, mu, day);
% takes in radius of body, gravitational parameter of body and length of
% day of body and returns time in eclipse
% code written with km, s, kg, and radians
a = (mu*day^2/(4*pi^2))^(1/3) % semi-major axis
halftheta = asin(r/a); % angles in radians
theta = 2*halftheta;
orbvel = sqrt(mu/a); % orbital velocity
arclength = a*theta; % length of curve in eclipse
time = arclength/orbvel;
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Eclipse Code Background
• Eclipse code assumes the planetary body to be a perfect sphere, assumes the shadow cast by the
body to be a cylinder of radius equal to that of the body, and assumes the orbit of the satellite to be
perfectly stationary (e=0, i=0, a=constant, Period = day)
• Code finds angle swept by shadow (eclipse) of planet on stationary orbit (Θ)
• Angular velocity of satellite is constant (⍵=constant)
• Time in eclipse is therefore t = Θ/⍵
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References
[1] “Earth Fact Sheet.” NASA, NASA, nssdc.gsfc.nasa.gov/planetary/factsheet/earthfact.html.
[2] “Mars Fact Sheet.” NASA, NASA, nssdc.gsfc.nasa.gov/planetary/factsheet/marsfact.html.
[3] Silva, Juan J., and Pilar Romero. “Optimal Longitudes Determination for the Station Keeping of
Areostationary Satellites.” Planetary and Space Science, Pergamon, 17 Feb. 2013,
www.sciencedirect.com/science/article/pii/S0032063313000044#bbib11.
[4] Romero, Pilar, and Jose M. Gambi. “Optimal Control in the East/West Station-Keeping Manoeuvres
for Geostationary Satellites.” Aerospace Science and Technology, Elsevier Masson, 1 Oct. 2004,
www.sciencedirect.com/science/article/pii/S1270963804000987.