Fault diagnosis for satellite sensors and actuators using nonlinear geometric approach and adaptive observers

Summary This paper presents a novel scheme for diagnosis of faults affecting sensors that measure the satellite attitude, body angular velocity, flywheel spin rates, and defects in control torques from reaction wheel motors. The proposed methodology uses adaptive observers to provide fault estimates...

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Bibliographic Details
Published in:International journal of robust and nonlinear control 2019-11, Vol.29 (16), p.5429-5455
Main Authors: Baldi, P., Blanke, M., Castaldi, P., Mimmo, N., Simani, S.
Format: Article
Language:English
Subjects:
Actuators
actuators and sensors
Adaptive control
adaptive observer
Angular velocity
Computer simulation
Fault detection
Fault diagnosis
Flywheels
Low earth orbits
nonlinear geometric approach
Observers
Parameter uncertainty
Reaction wheels
Sensors
Spacecraft models
structural analysis
Torque
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Summary:Summary This paper presents a novel scheme for diagnosis of faults affecting sensors that measure the satellite attitude, body angular velocity, flywheel spin rates, and defects in control torques from reaction wheel motors. The proposed methodology uses adaptive observers to provide fault estimates that aid detection, isolation, and estimation of possible actuator and sensor faults. The adaptive observers do not need a priori information about fault internal models. A nonlinear geometric approach is used to avoid that aerodynamic disturbance torques have unwanted influence on the fault estimates. An augmented high‐fidelity spacecraft model is exploited during design and validation to replicate faults. This simulation model includes disturbance torques as experienced in low Earth orbits. This paper includes an analysis to assess robustness properties of the method with respect to parameter uncertainties and disturbances. The results document the efficacy of the suggested methodology.
ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.4083