Abstract

This thesis focus is emphasized on the nonlinear fault diagnosis and recovery problems for both the satellite's orbital model and the satellite's attitude model through construction of residual generators that are based on least-squares parameter estimation techniques. By viewing system anomaly caused by faults and/or malfunctions as changes of certain parameters in the system, our goal is to detect, isolate and recover from the faults through estimating these parameters and adaptively redesigning the controllers. Given that the system with the triggered recovery procedure will be different from the system without it, two different fault detection and isolation subsystems are considered and applied to the different cases. The convergence properties of these two subsystems are shown analytically. Furthermore, the robustness properties of these residual generators are investigated, and subsequently, the corresponding decision logic and thresholds for the fault diagnosis are properly selected and specified. (Abstract shortened by UMI.)