05 measuring systems 2010.pdf
TRANSCRIPT
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16 October 2010
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OE5663 Dynamic PositioningMeasuring systems
ArjenTjallema Hugo Grimmelius
ir A.R. Tjallema
3mE
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Agenda
Measured data in DP systems
Sensor systems:
Position references
Measuring the environment
Actuator feedback
External forces
Sensor readings:
Filtering
Validation
Sensor weighting
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Sensors in DP systems
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Measured data
sensorsfeed-forwardcontrol / operator
sensorsposition controller
/ operator
sensorsactuator feed-back / operator
sensorsexternal forceestimate / operator
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Position reference systems
Requirements:
Accuracy
Signal / noise ratio
Standard deviation
Reliability
Update rate
Time delay Availability (weather conditions)
(Common) failure modes
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Position reference systems
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Position reference systems
How to determine ones position?
Satellite navigation
Hydro-acoustic Position Reference (HPR)
Mechanical
Relative reference
Inertial sensors
Ship orientation:
Heading
Roll & pitch
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Satellite navigation - GPS
6 orbital planes with 4satellites each
31 satellites currently activefor redundancy
Always min. 6 satellites inline of sight, min. 4 required
Owned and maintained byUS Ministry of Defence
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Satellite navigation GPS in 2D
?
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Satellite navigation - GPS
Error sources
Ionospheric effects: 5 m
Ephemeris (sat position) errors: 2.5 m
Satellite clock errors: 2 m
Multipath distortion: 1 m
Tropospheric effects: 0.5 m
Numerical errors: 1m
Signal obstruction: loss of position
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Satellite navigation - GPS
Source: Trimble Navigation, Inc
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Satellite navigation Enhancing GPS
Differential GPS
Accuracy 1m
Inertial Navigation Systems
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DGPS network
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Satellite navigation other systems
GALILEO -> European system, not fully operational yet
GLONASS -> Limited number of satellites, not fullyoperational
BEIDOU (Chinese) -> Limited coverage
IRNSS (India) -> under development, limited coverage
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Hydro-acoustic Position Reference(HPR)
Beacon(s) on theseabed transmit signals
Transponders on vesseldetermine range ofbeacons
Accuracy, depending onfrequency: 0.1 5 m
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Long baseline system
Baseline 50-2000 m
Pros:
Very high accuracy, even in deep water
High redundancy
Can provide vessel position in 6 DoF
Cons:
Complex system for operators
Large arrays of expensive equipment
Comprehensive calibration at deployment
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Short baseline system
Baseline 10-50 m
Pros
Low complexity
Easy to deploy
Redundant system
Cons:
Low accuracy in deep water
Additional sensors required for absolutepositioning
Detailed offshore calibration required
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Ultra-short baseline system
Baseline
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HPR weaknesses
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Mechanical reference
Measure top angle of wire
Error sources:
Current
Weight of cable
Cable dynamics(accelerations)
Roll & pitch
Accuracy > 1% of waterdepth
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Mechanical reference
Alternative: riser angle
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Relative references
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Relative reference
Laser (Fanbeam). Accuracy: 0.2m, 0.1 degrees
Microwave (Artemis). Accuracy: 1m, 0.02 degrees
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Accurate relative position reference
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Accurate relative position reference
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Inertial sensors
Can be used as position reference once startingposition is know
Only accurate for limited time period
Can be used as dead-reckoning system
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Inertial sensors as support
Combination with HPR (or GPS)
HPR:
Relatively high noise
No position drift
Inertial sensor:
Low short-term noise
High position drift
HPR accuracy improves 2-3 times
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Ship orientation
Vertical Reference Sensor (VRS) -> pitch & roll
Heading reference -> gyro compass
Vertical gyro
Pendulum
Inertia based
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Measuring the environment
Wind normally measured -> feed-forward control
Use of simple wind sensors
Combine number of sensors
Current not measured
Waves not measured
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Measuring wind
Simple reliable sensors, but take into account:
Position of sensors
Operations
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Wind forces
Calculated with wind speed only (ship speed very low)
2
2
2
( )2
( )2
( )2
wind X wind lat wind
wind Y wind front wind
wind N wind lat wind
X C A U
Y C A U
N C A L U
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Source of constants
E.g. Brix:
Often Semi emperical
Wind tunnel tests
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DP current
Wind forces are estimated by control system
Compare to thruster forces
DP current = thruster forces wind forces, so:
Current
Waves
External forces
All non-modeled phenomena
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DP current
Risk of using DP current:
Erroneous thruster feedback (25% of max pitch)
Result: current of 2.5 knots displayed
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DP current
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DP current
Unclear for operator, not harmful for control system
But, if current and waves are known:
Performance can be enhanced
Fuel consumption can be decreased
System failures can better be detected
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Current feed forward
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Current measurements
How to measure current?
Downward or upward lookingacoustic doppler radar
Thruster wash
Current-hull interaction
Slowly varying
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Wave measurements
Wave drift forces relatively high on large vessels
Wave feed-forward improves performance due tofaster reaction to large wave groups
How to measure?
And: how to predict (!)
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Wave measurements
Radar measurements
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Wave measurements
Relative wave height on hull
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Alternative current and wavemeasurement
Separate measurement buoy
Accurate measurements
Only from one direction
Vulnerable system
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External forces
Control system needs to know of significant external forces
Forces need to be included in internal model
Mooring system
Hawser
Drill string
Risers
Pipe
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Other sensors indicating shipbehaviour
Water depth
Draught
Speed
Rate of turn
Trim
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Actuator feed-back
Compare thruster output to control settings
Rpm
Pitch
Direction
Detect failing thrusters
Improve controller performance
Use redundant sensor system
Thrust cannot (yet) directly be measured
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Filtering
Filter sensor data
Kalman filter
Thrusters not capable of reacting at wave-frequency
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Sensor validation
Check whether sensor signal is correct
Easy to detect:
Frozen signal
Signal jumps
No signal
Dangerous failure mode:
Drifting signal
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Sensor validation
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Sensor validation
Compare output of multiple sensors:
Two sensors -> reveal an error
Three sensors -> detect which sensor fails
But: common failure modes not covered
Temperature effects
Noise
GPS: ionospheric disturbance
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Class requirements
3 independent reference systems
Deep water?
2x DGPS + 1x HPR
Inertial sensors: 2.5 independent systems
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Sensor weighting
Some sensors more reliable or accurate than others
Changes over time
Dynamic sensor weighting
Failure modes!
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Sensor weighting
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Sensor failure
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Sensor failure
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Remote measurements
Environmental conditions and weather forecast
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Remote measurements
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Measurement systems
Measurements of:
Position
Environment
Actuator feedback
External forces
Filtering and validation of sensor readings
Combination of sensor readings
Operators decisions crucial
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Questions?