Fault Diagnosis for Attitude Sensors Based on Analytical Redundancy and Wavelet Transform

This paper presents a sensor fault diagnosis method for the satellite attitude determination system based on analytical redundancy and wavelet transform. Specifically, we design a full-order observer to achieve fault detection. After the fault is detected, wavelet transform is used to isolate the fault sensors. Moreover, the gyroscope faults are estimated by using the algebraic observability. The proposed fault diagnosis approach combines the analytical redundancy-based method and the signal processing technique, its major benefit is that the computational burden is effectively reduced by introducing the fault detection method based on the analytical redundancy. Simulation results illustrate the effectiveness of the proposed method.