Fault Prediction for Satellite Attitude Control System Based on Fuzzy-Parity Equation and Grey Model

Since present fault prediction method of satellite attitude control system cannot describe and predict the nonlinear system effectively, a new method based on fuzzy-parity equation and grey GM (1, 1) model is presented in this paper. Firstly, fuzzy-parity equation and Kalman filter are utilized to extract the fault feature of satellite actuator. Translation transformation and buffer operator are adopted to process the fault feature so as to establish an equal dimension and new information GM (1, 1) model. Then the development trend of the fault feature is predicted and the confidence level of one-step prediction result is evaluated through the prediction grey-level. Simulations demonstrate that the proposed method can predict fault trend effectively and accurately.