Premium
Fault diagnosis for satellite sensors and actuators using nonlinear geometric approach and adaptive observers
Author(s) -
Baldi P.,
Blanke M.,
Castaldi P.,
Mimmo N.,
Simani S.
Publication year - 2018
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4083
Subject(s) - control theory (sociology) , robustness (evolution) , actuator , nonlinear system , fault detection and isolation , reaction wheel , torque , spacecraft , computer science , flywheel , control engineering , a priori and a posteriori , engineering , attitude control , artificial intelligence , aerospace engineering , control (management) , biochemistry , chemistry , physics , philosophy , epistemology , quantum mechanics , gene , thermodynamics
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.