Simulink-Based FDI Simulator for Autonomous Low Earth Orbit Satellite

Abstract

The simulator development for fault detection and isolation (FDI) of a LEO satellite is presented. The simulator was constructed using satellite dynamics, FDI, sensors and actuators, flight software and a visualization block. Two FDI algorithms were applied. The first was an outlier detection method. The outlier detection method was based on the Kalman filter incorporating thresholds, data windows and average methods. This filter detected, isolated and recovered sudden abnormal data. The second FDI algorithm was a parity space approach for the gyro sensor FDI. The simulator was developed under the Matlab/Simulink environment. The results indicated that the simulator can be used for any LEO satellite.