lunar transfers and the circular restricted three-body...

71
Lunar Transfers and the Circular Restricted Three-Body Problem Bennington College Science Workshop Michael S. Reardon Visiting Assistant Professor of Mathematics Bennington College [email protected] November 30th, 2012

Upload: ngokhanh

Post on 06-Apr-2018

222 views

Category:

Documents


4 download

TRANSCRIPT

  • Lunar Transfers and the CircularRestricted Three-Body Problem

    Bennington College Science Workshop

    Michael S. Reardon

    Visiting Assistant Professor of MathematicsBennington College

    [email protected]

    November 30th, 2012

  • Introduction: What is a CubeSat?

    CubeSats belong to a class of satellites called nanosatellites:I dimensions: 10cm10cm10cmI mass: < 1.33kg

    Double 20cm10cm10cm and Triple 30cm10cm10cmCubeSats are also becoming common.

    CubeSats are usually constructed using basic kits and are thenfitted with mission specific technology including:

    I CommunicationsI Remote SensingI Propulsion and Navigation

    CubeSats piggy-back on larger missions

  • Introduction: What is a CubeSat?

    CubeSats belong to a class of satellites called nanosatellites:I dimensions: 10cm10cm10cmI mass: < 1.33kg

    Double 20cm10cm10cm and Triple 30cm10cm10cmCubeSats are also becoming common.

    CubeSats are usually constructed using basic kits and are thenfitted with mission specific technology including:

    I CommunicationsI Remote SensingI Propulsion and Navigation

    CubeSats piggy-back on larger missions

  • Introduction: What is a CubeSat?

    CubeSats belong to a class of satellites called nanosatellites:I dimensions: 10cm10cm10cmI mass: < 1.33kg

    Double 20cm10cm10cm and Triple 30cm10cm10cmCubeSats are also becoming common.

    CubeSats are usually constructed using basic kits and are thenfitted with mission specific technology including:

    I CommunicationsI Remote SensingI Propulsion and Navigation

    CubeSats piggy-back on larger missions

  • Introduction: What is a CubeSat?

    CubeSats belong to a class of satellites called nanosatellites:I dimensions: 10cm10cm10cmI mass: < 1.33kg

    Double 20cm10cm10cm and Triple 30cm10cm10cmCubeSats are also becoming common.

    CubeSats are usually constructed using basic kits and are thenfitted with mission specific technology including:

    I CommunicationsI Remote SensingI Propulsion and Navigation

    CubeSats piggy-back on larger missions

  • The Project

    The Vermont Lunar Lander CubeSat project is a collaborativeeffort between students and faculty from:

    I Vermont Technical CollegeI Saint Michaels CollegeI Norwich UniversityI University of Vermont

    Project Director: Carl Brandon, VTC Featured in an emmy nominated VT PBS episode of EmergingScience:Out of This World

    Goal: Develop a triple CubeSat capable of reaching a 100 kmlunar orbit and possibly conducting a lunar landing.

    2013 test launch to test communications and a guidance system

  • The Project

    The Vermont Lunar Lander CubeSat project is a collaborativeeffort between students and faculty from:

    I Vermont Technical CollegeI Saint Michaels CollegeI Norwich UniversityI University of Vermont

    Project Director: Carl Brandon, VTC Featured in an emmy nominated VT PBS episode of EmergingScience:Out of This World

    Goal: Develop a triple CubeSat capable of reaching a 100 kmlunar orbit and possibly conducting a lunar landing.

    2013 test launch to test communications and a guidance system

  • The Project

    The Vermont Lunar Lander CubeSat project is a collaborativeeffort between students and faculty from:

    I Vermont Technical CollegeI Saint Michaels CollegeI Norwich UniversityI University of Vermont

    Project Director: Carl Brandon, VTC

    Featured in an emmy nominated VT PBS episode of EmergingScience:Out of This World

    Goal: Develop a triple CubeSat capable of reaching a 100 kmlunar orbit and possibly conducting a lunar landing.

    2013 test launch to test communications and a guidance system

  • The Project

    The Vermont Lunar Lander CubeSat project is a collaborativeeffort between students and faculty from:

    I Vermont Technical CollegeI Saint Michaels CollegeI Norwich UniversityI University of Vermont

    Project Director: Carl Brandon, VTC Featured in an emmy nominated VT PBS episode of EmergingScience:Out of This World

    Goal: Develop a triple CubeSat capable of reaching a 100 kmlunar orbit and possibly conducting a lunar landing.

    2013 test launch to test communications and a guidance system

  • The Project

    The Vermont Lunar Lander CubeSat project is a collaborativeeffort between students and faculty from:

    I Vermont Technical CollegeI Saint Michaels CollegeI Norwich UniversityI University of Vermont

    Project Director: Carl Brandon, VTC Featured in an emmy nominated VT PBS episode of EmergingScience:Out of This World

    Goal: Develop a triple CubeSat capable of reaching a 100 kmlunar orbit and possibly conducting a lunar landing.

    2013 test launch to test communications and a guidance system

  • The Project

    The Vermont Lunar Lander CubeSat project is a collaborativeeffort between students and faculty from:

    I Vermont Technical CollegeI Saint Michaels CollegeI Norwich UniversityI University of Vermont

    Project Director: Carl Brandon, VTC Featured in an emmy nominated VT PBS episode of EmergingScience:Out of This World

    Goal: Develop a triple CubeSat capable of reaching a 100 kmlunar orbit and possibly conducting a lunar landing.

    2013 test launch to test communications and a guidance system

  • Low Thrust vs High Thrust

    High thrust chemical propellants: Fuel+Oxidizer highpressure byproduct gases Exhaust Nozzle Thrust

    I Hydroxyl ammonium nitrate and methanol monopropellantI 4N of thrustI Isp = 270sI v budget of 2250 m/s

    Low thrust SEP propulsion: Solar Power Strong ElectricFields Ion Acceleration High Exhaust Velocity

    I Xenon Ion SEP systemI 1mN of thrustI Isp 3000sI v budget of 4000 m/s

    Figure: JPL Miniature Xenon Ion Thruster

  • Low Thrust vs High Thrust High thrust chemical propellants: Fuel+Oxidizer high

    pressure byproduct gases Exhaust Nozzle ThrustI Hydroxyl ammonium nitrate and methanol monopropellantI 4N of thrustI Isp = 270sI v budget of 2250 m/s

    Low thrust SEP propulsion: Solar Power Strong ElectricFields Ion Acceleration High Exhaust Velocity

    I Xenon Ion SEP systemI 1mN of thrustI Isp 3000sI v budget of 4000 m/s

    Figure: JPL Miniature Xenon Ion Thruster

  • Low Thrust vs High Thrust High thrust chemical propellants: Fuel+Oxidizer high

    pressure byproduct gases Exhaust Nozzle ThrustI Hydroxyl ammonium nitrate and methanol monopropellantI 4N of thrustI Isp = 270sI v budget of 2250 m/s

    Low thrust SEP propulsion: Solar Power Strong ElectricFields Ion Acceleration High Exhaust Velocity

    I Xenon Ion SEP systemI 1mN of thrustI Isp 3000sI v budget of 4000 m/s

    Figure: JPL Miniature Xenon Ion Thruster

  • Low Thrust vs High Thrust

    Figure: Ion Thruster (Image courtesy of Wikipedia Commons)

  • Low Thrust vs High Thrust

    Ion Propulsion Advantages vs Chemical Propulsion:1. Lower fuel mass requirements2. Larger range3. Considered safer for launch with other satellites

    Ion Propulsion Disadvantages vs Chemical Propulsion:1. Longer transfer times2. Require larger battery/solar panels3. Radiation damage4. Subject to thruster shutdown due to eclipsing5. Unable to perform large, nearly instantaneous velocity

    corrections

  • Low Thrust vs High Thrust

    Ion Propulsion Advantages vs Chemical Propulsion:1. Lower fuel mass requirements2. Larger range3. Considered safer for launch with other satellites

    Ion Propulsion Disadvantages vs Chemical Propulsion:1. Longer transfer times2. Require larger battery/solar panels3. Radiation damage4. Subject to thruster shutdown due to eclipsing5. Unable to perform large, nearly instantaneous velocity

    corrections

  • High Thrust: Direct Transfer (STK)

    2 Impulse Transfer based on Hoffman transfer1. 1st impulse takes the CubeSat through the L1 gateway to a

    100 km lunar periapsis2. 2nd impulse at lunar periapsis to circularize the lunar orbit

    Segment v (m/s) Time (days)1 1039 4.82 738 -

    Total 1777 m/s 4.8

  • High Thrust: Direct Transfer (STK)

    2 Impulse Transfer based on Hoffman transfer1. 1st impulse takes the CubeSat through the L1 gateway to a

    100 km lunar periapsis2. 2nd impulse at lunar periapsis to circularize the lunar orbit

    Segment v (m/s) Time (days)1 1039 4.82 738 -

    Total 1777 m/s 4.8

  • High Thrust: Direct Transfer (STK)

    2 Impulse Transfer based on Hoffman transfer1. 1st impulse takes the CubeSat through the L1 gateway to a

    100 km lunar periapsis2. 2nd impulse at lunar periapsis to circularize the lunar orbit

    Segment v (m/s) Time (days)1 1039 4.82 738 -

    Total 1777 m/s 4.8

  • High Thrust: Direct Transfer (STK)

    (a) (b)

    Figure: Direct transfer to lunar orbit

  • Low Thrust Transfer (STK)

    Low thrust transfer similar to the ESA SMART-1 mission1. 1st series of thrust arcs near perigee to increase the radius of

    apogee2. 2nd series of thrust arcs near apogee to raise the radius of

    perigee and ensure temporary lunar capture3. 3rd series of thrust arcs and spirals to stabilize the lunar orbit4. 4th series of thrust arcs and spirals to circularize and decrease

    the orbit radius

    Segment v (m/s) Time (day)1 1157 1832 150 83 450 194 910 155

    Total 2667 365

  • Low Thrust Transfer (STK) Low thrust transfer similar to the ESA SMART-1 mission

    1. 1st series of thrust arcs near perigee to increase the radius ofapogee

    2. 2nd series of thrust arcs near apogee to raise the radius ofperigee and ensure temporary lunar capture

    3. 3rd series of thrust arcs and spirals to stabilize the lunar orbit4. 4th series of thrust arcs and spirals to circularize and decrease

    the orbit radius

    Segment v (m/s) Time (day)1 1157 1832 150 83 450 194 910 155

    Total 2667 365

  • Low Thrust Transfer (STK) Low thrust transfer similar to the ESA SMART-1 mission

    1. 1st series of thrust arcs near perigee to increase the radius ofapogee

    2. 2nd series of thrust arcs near apogee to raise the radius ofperigee and ensure temporary lunar capture

    3. 3rd series of thrust arcs and spirals to stabilize the lunar orbit4. 4th series of thrust arcs and spirals to circularize and decrease

    the orbit radius

    Segment v (m/s) Time (day)1 1157 1832 150 83 450 194 910 155

    Total 2667 365

  • Low Thrust Transfer (STK)

    (a) Lunar transfer (b) Lunar spiral-in

  • The CRTBP

    Computing lunar transfer trajectories requires a goodunderstanding of the Circular Restricted Three Body Problem(CRTBP).

    The CRTBP models the trajectory of a massless satellite subjectto the gravity of two bodies in circular orbits about their CM

    The coordinate system is co-rotating with the massive bodiesabout their CM

    The origin is fixed at their CM The x-y plane is aligned to their plane of rotation. m1 and m2 are fixed at (x , y) = (, 0) and (1 , 0)

    respectively where = m2/(m1 + m2), m1 > m2.

  • The CRTBP

    Computing lunar transfer trajectories requires a goodunderstanding of the Circular Restricted Three Body Problem(CRTBP).

    The CRTBP models the trajectory of a massless satellite subjectto the gravity of two bodies in circular orbits about their CM

    The coordinate system is co-rotating with the massive bodiesabout their CM

    The origin is fixed at their CM The x-y plane is aligned to their plane of rotation. m1 and m2 are fixed at (x , y) = (, 0) and (1 , 0)

    respectively where = m2/(m1 + m2), m1 > m2.

  • The CRTBP

    Computing lunar transfer trajectories requires a goodunderstanding of the Circular Restricted Three Body Problem(CRTBP).

    The CRTBP models the trajectory of a massless satellite subjectto the gravity of two bodies in circular orbits about their CM

    The coordinate system is co-rotating with the massive bodiesabout their CM

    The origin is fixed at their CM The x-y plane is aligned to their plane of rotation. m1 and m2 are fixed at (x , y) = (, 0) and (1 , 0)

    respectively where = m2/(m1 + m2), m1 > m2.

  • The CRTBP

    Computing lunar transfer trajectories requires a goodunderstanding of the Circular Restricted Three Body Problem(CRTBP).

    The CRTBP models the trajectory of a massless satellite subjectto the gravity of two bodies in circular orbits about their CM

    The coordinate system is co-rotating with the massive bodiesabout their CM

    The origin is fixed at their CM The x-y plane is aligned to their plane of rotation. m1 and m2 are fixed at (x , y) = (, 0) and (1 , 0)

    respectively where = m2/(m1 + m2), m1 > m2.

  • The CRTBP

    Computing lunar transfer trajectories requires a goodunderstanding of the Circular Restricted Three Body Problem(CRTBP).

    The CRTBP models the trajectory of a massless satellite subjectto the gravity of two bodies in circular orbits about their CM

    The coordinate system is co-rotating with the massive bodiesabout their CM

    The origin is fixed at their CM

    The x-y plane is aligned to their plane of rotation. m1 and m2 are fixed at (x , y) = (, 0) and (1 , 0)

    respectively where = m2/(m1 + m2), m1 > m2.

  • The CRTBP

    Computing lunar transfer trajectories requires a goodunderstanding of the Circular Restricted Three Body Problem(CRTBP).

    The CRTBP models the trajectory of a massless satellite subjectto the gravity of two bodies in circular orbits about their CM

    The coordinate system is co-rotating with the massive bodiesabout their CM

    The origin is fixed at their CM The x-y plane is aligned to their plane of rotation.

    m1 and m2 are fixed at (x , y) = (, 0) and (1 , 0)respectively where = m2/(m1 + m2), m1 > m2.

  • The CRTBP

    Computing lunar transfer trajectories requires a goodunderstanding of the Circular Restricted Three Body Problem(CRTBP).

    The CRTBP models the trajectory of a massless satellite subjectto the gravity of two bodies in circular orbits about their CM

    The coordinate system is co-rotating with the massive bodiesabout their CM

    The origin is fixed at their CM The x-y plane is aligned to their plane of rotation. m1 and m2 are fixed at (x , y) = (, 0) and (1 , 0)

    respectively where = m2/(m1 + m2), m1 > m2.

  • The CRTBP

    The equations of motion are given by:

    x =d

    dt

    xyzuvw

    =

    uvw

    2v + xU

    2u + yU

    zU

    = F(x)

    U =1

    2(x2 + y 2) +

    1 r1

    +

    r2

    r1 =

    (x + )2 + y 2 + z2

    r2 =

    (x 1 + )2 + y 2 + z2

  • The CRTBP

    The equations of motion are given by:

    x =d

    dt

    xyzuvw

    =

    uvw

    2v + xU

    2u + yU

    zU

    = F(x)

    U =1

    2(x2 + y 2) +

    1 r1

    +

    r2

    r1 =

    (x + )2 + y 2 + z2

    r2 =

    (x 1 + )2 + y 2 + z2

  • The Jacobi Energy The Jacobi Energy is given by:

    C (x) = x2 + y 2 + 21 r1

    + 2

    r2 (x2 + y 2 + z2)

    C is constant on all trajectories By setting x = y = z = 0 we obtain the zero velocity surfaceC (x , y , z) = C

    (c) top view (d) side view

    Figure: A zero velocity surface

  • The Jacobi Energy The Jacobi Energy is given by:

    C (x) = x2 + y 2 + 21 r1

    + 2

    r2 (x2 + y 2 + z2)

    C is constant on all trajectories

    By setting x = y = z = 0 we obtain the zero velocity surfaceC (x , y , z) = C

    (a) top view (b) side view

    Figure: A zero velocity surface

  • The Jacobi Energy The Jacobi Energy is given by:

    C (x) = x2 + y 2 + 21 r1

    + 2

    r2 (x2 + y 2 + z2)

    C is constant on all trajectories By setting x = y = z = 0 we obtain the zero velocity surfaceC (x , y , z) = C

    (a) top view (b) side view

    Figure: A zero velocity surface

  • The Jacobi Energy The Jacobi Energy is given by:

    C (x) = x2 + y 2 + 21 r1

    + 2

    r2 (x2 + y 2 + z2)

    C is constant on all trajectories By setting x = y = z = 0 we obtain the zero velocity surfaceC (x , y , z) = C

    (a) top view (b) side view

    Figure: A zero velocity surface

  • The Jacobi Energy

    0.5 0 0.5 1 1.5

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    z

    (a)

    0.2 0 0.2 0.4 0.6 0.8 1 1.20.5

    0.4

    0.3

    0.2

    0.1

    0

    0.1

    0.2

    0.3

    0.4

    0.5

    x

    (b)

    1 0.5 0 0.5 1 1.5

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    z

    (c)

    1 0.5 0 0.5 1 1.5 2

    1

    0.5

    0

    0.5

    1

    xz

    (d)

    1.5 1 0.5 0 0.5 1 1.51.5

    1

    0.5

    0

    0.5

    1

    1.5

    x

    (e)

    2 1.5 1 0.5 0 0.5 1 1.5 22

    1.5

    1

    0.5

    0

    0.5

    1

    1.5

    2

    x

    y

    (f)

    Figure: Planar projection of C and sample orbits for decreasing C

  • Lagrange Points

    5 Lagrange points where forces balance (in the rotatingcoordinate system)

    I Solutions to x = F(x) = 0I L1L3 are on located on the x-axisI L4 and L5 are located at the tips of equilateral triangles

    Ideal for observation, communication, and (eventually) supply

    Figure: The E-M Lagrange points (courtesy of Wikipedia Commons)

  • Lagrange Points 5 Lagrange points where forces balance (in the rotating

    coordinate system)I Solutions to x = F(x) = 0I L1L3 are on located on the x-axisI L4 and L5 are located at the tips of equilateral triangles

    Ideal for observation, communication, and (eventually) supply

    Figure: The E-M Lagrange points (courtesy of Wikipedia Commons)

  • Lagrange Points 5 Lagrange points where forces balance (in the rotating

    coordinate system)I Solutions to x = F(x) = 0I L1L3 are on located on the x-axisI L4 and L5 are located at the tips of equilateral triangles

    Ideal for observation, communication, and (eventually) supply

    Figure: The E-M Lagrange points (courtesy of Wikipedia Commons)

  • Stabilty

    Small displacements x = x xi about the ith Lagrange pointevolve locally according to the equation:

    x = F(xi) + J(xi)x + O(||x||2) J(xi)x (1)

    J(xi) is the (constant) Jacobian matrix of F at xi Solutions are of the form vet where (, v) is an

    eigenvalue/eigenvector pair of J(xi)

    6 eigenvalues/eigenvectors describe how trajectories approach,leave, or orbit the fixed point

    If Re() > 0, perturbations from Li may grow and the Lagrangepoint is unstable

    L1L3 are unstable, L4L5 are stable

  • Stabilty

    Small displacements x = x xi about the ith Lagrange pointevolve locally according to the equation:

    x = F(xi) + J(xi)x + O(||x||2) J(xi)x (1)

    J(xi) is the (constant) Jacobian matrix of F at xi

    Solutions are of the form vet where (, v) is aneigenvalue/eigenvector pair of J(xi)

    6 eigenvalues/eigenvectors describe how trajectories approach,leave, or orbit the fixed point

    If Re() > 0, perturbations from Li may grow and the Lagrangepoint is unstable

    L1L3 are unstable, L4L5 are stable

  • Stabilty

    Small displacements x = x xi about the ith Lagrange pointevolve locally according to the equation:

    x = F(xi) + J(xi)x + O(||x||2) J(xi)x (1)

    J(xi) is the (constant) Jacobian matrix of F at xi Solutions are of the form vet where (, v) is an

    eigenvalue/eigenvector pair of J(xi)

    6 eigenvalues/eigenvectors describe how trajectories approach,leave, or orbit the fixed point

    If Re() > 0, perturbations from Li may grow and the Lagrangepoint is unstable

    L1L3 are unstable, L4L5 are stable

  • Stabilty

    Small displacements x = x xi about the ith Lagrange pointevolve locally according to the equation:

    x = F(xi) + J(xi)x + O(||x||2) J(xi)x (1)

    J(xi) is the (constant) Jacobian matrix of F at xi Solutions are of the form vet where (, v) is an

    eigenvalue/eigenvector pair of J(xi)

    6 eigenvalues/eigenvectors describe how trajectories approach,leave, or orbit the fixed point

    If Re() > 0, perturbations from Li may grow and the Lagrangepoint is unstable

    L1L3 are unstable, L4L5 are stable

  • Stabilty

    Small displacements x = x xi about the ith Lagrange pointevolve locally according to the equation:

    x = F(xi) + J(xi)x + O(||x||2) J(xi)x (1)

    J(xi) is the (constant) Jacobian matrix of F at xi Solutions are of the form vet where (, v) is an

    eigenvalue/eigenvector pair of J(xi)

    6 eigenvalues/eigenvectors describe how trajectories approach,leave, or orbit the fixed point

    If Re() > 0, perturbations from Li may grow and the Lagrangepoint is unstable

    L1L3 are unstable, L4L5 are stable

  • Stabilty

    Small displacements x = x xi about the ith Lagrange pointevolve locally according to the equation:

    x = F(xi) + J(xi)x + O(||x||2) J(xi)x (1)

    J(xi) is the (constant) Jacobian matrix of F at xi Solutions are of the form vet where (, v) is an

    eigenvalue/eigenvector pair of J(xi)

    6 eigenvalues/eigenvectors describe how trajectories approach,leave, or orbit the fixed point

    If Re() > 0, perturbations from Li may grow and the Lagrangepoint is unstable

    L1L3 are unstable, L4L5 are stable

  • Chaos in the CRTBP

    The CRTBP is a dynamical system where knowledge of thepresent state can be used to uniquely determine any future state

    Dynamical systems may exhibit chaotic behavior. Calling cardsof chaos include:

    I Sensitivity to small changes of initial conditionsI Topological mixingI Periodic orbits are dense in the phase space

    Large C solutions are tightly bound to the earth and moon Small C solutions, especially those passing near Lagrange points

    typically more chaotic

  • Chaos in the CRTBP

    The CRTBP is a dynamical system where knowledge of thepresent state can be used to uniquely determine any future state

    Dynamical systems may exhibit chaotic behavior. Calling cardsof chaos include:

    I Sensitivity to small changes of initial conditionsI Topological mixingI Periodic orbits are dense in the phase space

    Large C solutions are tightly bound to the earth and moon Small C solutions, especially those passing near Lagrange points

    typically more chaotic

  • Chaos in the CRTBP

    The CRTBP is a dynamical system where knowledge of thepresent state can be used to uniquely determine any future state

    Dynamical systems may exhibit chaotic behavior. Calling cardsof chaos include:

    I Sensitivity to small changes of initial conditionsI Topological mixingI Periodic orbits are dense in the phase space

    Large C solutions are tightly bound to the earth and moon Small C solutions, especially those passing near Lagrange points

    typically more chaotic

  • Chaos in the CRTBP

    The CRTBP is a dynamical system where knowledge of thepresent state can be used to uniquely determine any future state

    Dynamical systems may exhibit chaotic behavior. Calling cardsof chaos include:

    I Sensitivity to small changes of initial conditionsI Topological mixingI Periodic orbits are dense in the phase space

    Large C solutions are tightly bound to the earth and moon

    Small C solutions, especially those passing near Lagrange pointstypically more chaotic

  • Chaos in the CRTBP

    The CRTBP is a dynamical system where knowledge of thepresent state can be used to uniquely determine any future state

    Dynamical systems may exhibit chaotic behavior. Calling cardsof chaos include:

    I Sensitivity to small changes of initial conditionsI Topological mixingI Periodic orbits are dense in the phase space

    Large C solutions are tightly bound to the earth and moon Small C solutions, especially those passing near Lagrange points

    typically more chaotic

  • Chaos in the CRTBP

    1.5 1 0.5 0 0.5 1 1.51.5

    1

    0.5

    0

    0.5

    1

    1.5

    xzz

    y

    (a) (x , y , z) trajectory

    0 10 20 30 40 50 600.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    t

    x(t)

    (b) x vs. t

    Figure: Sensitivity to initial conditions

  • Chaos in the CRTBP

    0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.20.2

    0.15

    0.1

    0.05

    0

    0.05

    0.1

    0.15

    0.2

    (a) t = 2.5

    0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.20.2

    0.15

    0.1

    0.05

    0

    0.05

    0.1

    0.15

    0.2

    (b) t = 5

    0.5 0 0.5 11

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    (c) t = 7.5

    0.5 0 0.5 11

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    (d) t = 10

    0.5 0 0.5 11

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    (e) t = 12.5

    0.5 0 0.5 11

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    (f) t = 15

    Figure: Topological mixing

  • Chaos in the CRTBP

    0.8 0.6 0.4 0.2 0 0.2 0.4 0.6 0.8 1 1.24

    3

    2

    1

    0

    1

    2

    3

    4

    x

    x

    Figure: A Poincare map

  • Chaos in the CRTBP

    0.5 0.45 0.4 0.35 0.3 0.25 0.2 0.15 0.1 0.051

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    x

    x

    0.4 0.45 0.5 0.55 0.60.5

    0.4

    0.3

    0.2

    0.1

    0

    0.1

    0.2

    0.3

    0.4

    xx

    0.4 0.45 0.5 0.55 0.60.7

    0.65

    0.6

    0.55

    0.5

    0.45

    0.4

    0.35

    x

    x

    Figure: Periodic orbits and the Poincare map

  • Chaos in the CRTBP

    z

    Figure: Periodic and quasiperiodic orbits

    Periodic orbits are fixed points? Stability is determined by the eigenvalues of the MonodromyMatrix

    The eigenvalues/eigenvectors determine how trajectoriesapproach, leave, or orbit the periodic orbit

  • Chaos in the CRTBP

    z

    Figure: Periodic and quasiperiodic orbits

    Periodic orbits are fixed points?

    Stability is determined by the eigenvalues of the MonodromyMatrix

    The eigenvalues/eigenvectors determine how trajectoriesapproach, leave, or orbit the periodic orbit

  • Chaos in the CRTBP

    z

    Figure: Periodic and quasiperiodic orbits

    Periodic orbits are fixed points? Stability is determined by the eigenvalues of the MonodromyMatrix

    The eigenvalues/eigenvectors determine how trajectoriesapproach, leave, or orbit the periodic orbit

  • Chaos in the CRTBP

    z

    Figure: Periodic and quasiperiodic orbits

    Periodic orbits are fixed points? Stability is determined by the eigenvalues of the MonodromyMatrix

    The eigenvalues/eigenvectors determine how trajectoriesapproach, leave, or orbit the periodic orbit

  • Periodic Orbits

    The Lagrange points are also surrounded by periodic orbitsincluding:

    I Lyopunov (planar)I Halo (non-planar)I Lissajous (quasi-periodic)

    0.7 0.75 0.8 0.85 0.9 0.95 1

    0.1

    0.05

    0

    0.05

    0.1

    (a) Lyapunov family (b) Halo families

    Figure: Periodic orbit families about L1

  • Periodic Orbits The Lagrange points are also surrounded by periodic orbits

    including:I Lyopunov (planar)I Halo (non-planar)I Lissajous (quasi-periodic)

    0.7 0.75 0.8 0.85 0.9 0.95 1

    0.1

    0.05

    0

    0.05

    0.1

    (a) Lyapunov family (b) Halo families

    Figure: Periodic orbit families about L1

  • Periodic Orbits The Lagrange points are also surrounded by periodic orbits

    including:I Lyopunov (planar)I Halo (non-planar)I Lissajous (quasi-periodic)

    0.7 0.75 0.8 0.85 0.9 0.95 1

    0.1

    0.05

    0

    0.05

    0.1

    (a) Lyapunov family (b) Halo families

    Figure: Periodic orbit families about L1

  • Transfer via Lyopunov Manifolds

    Information on how trajectories leave fixed points is useful forefficient station keeping

    It can also be used for transport to/from fixed points andperiodic orbits along invariant manifolds

    0.8 0.9 1 1.1 1.2

    0.2

    0.15

    0.1

    0.05

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    (a) Unstable Manifold

    0.5 0 0.5 1

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    x

    (b) Stable Manifold

    Figure: Lyopunov orbit manifolds

  • Transfer via Lyopunov Manifolds Information on how trajectories leave fixed points is useful for

    efficient station keeping

    It can also be used for transport to/from fixed points andperiodic orbits along invariant manifolds

    0.8 0.9 1 1.1 1.2

    0.2

    0.15

    0.1

    0.05

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    (a) Unstable Manifold

    0.5 0 0.5 1

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    x

    (b) Stable Manifold

    Figure: Lyopunov orbit manifolds

  • Transfer via Lyopunov Manifolds Information on how trajectories leave fixed points is useful for

    efficient station keeping It can also be used for transport to/from fixed points and

    periodic orbits along invariant manifolds

    0.8 0.9 1 1.1 1.2

    0.2

    0.15

    0.1

    0.05

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    (a) Unstable Manifold

    0.5 0 0.5 1

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    x

    (b) Stable Manifold

    Figure: Lyopunov orbit manifolds

  • Transfer via Lyopunov Manifolds Information on how trajectories leave fixed points is useful for

    efficient station keeping It can also be used for transport to/from fixed points and

    periodic orbits along invariant manifolds

    0.8 0.9 1 1.1 1.2

    0.2

    0.15

    0.1

    0.05

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    (a) Unstable Manifold

    0.5 0 0.5 1

    0.8

    0.6

    0.4

    0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    x

    (b) Stable Manifold

    Figure: Lyopunov orbit manifolds

  • Transfer via Lyopunov Manifolds Example: A Impulse Transfer via Lyopunov manifolds

    1. 1st impulse takes the CubeSat to stable manifold of aLyopunov orbit

    2. 2nd impulse adjusts the velocity to that of the manifold3. 3rd impulse to leave orbit to ensure lunar capture and 100 km

    lunar periapsis upon leaving the L1 orbit.4. 4th impulse at lunar periapsis to circularize the orbit about the

    moon

    Segment v (m/s) Time (day)1 677 1.62 851 28.33 3 9.44 635 -

    Total 2165 39.3

  • Transfer via Lyopunov Manifolds

    (a) CRTBP frame (Matlab) (b) Earth frame (STK)

  • Summary

    Questions?

    Acknowledgements: