Fault diagnosis for satellite sensors and actuators using nonlinear geometric approach and adaptive observers. (2nd April 2018)

• Record Type: Journal Article
• Authors: Baldi, P.; Blanke, M.; Castaldi, P.; Mimmo, N.; Simani, S.
• Other Names: Edwards Christopher guestEditor.; Simani Silvio guestEditor.
• Is Part Of: International journal of robust and nonlinear control. Volume 29:Number 16(2019)
• Page Start: 5429
• Page End: 5455
• Publication Date: 2018-04-02
• Subjects: actuators and sensors -- adaptive observer -- fault diagnosis -- nonlinear geometric approach -- structural analysis; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.4083
• Languages: English
• ISSNs: 1049-8923

Abstract

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.