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, fuzzyparity 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.
satellite attitude control system fault prediction fuzzy-parity equation GM(1,1) model predicton grey-level
Zhang Chunhua Song Hua Xiong Kai
School of Automation Science and Electrical Engineering BeiHang University Beijing, China School of Automation Science and Electrical Engineering BeiHang University;National Key Laboratory o National Key Laboratory of Space Intelligent Control Technology Beijing, China
国际会议
秦皇岛
英文
1879-1884
2015-09-18(万方平台首次上网日期,不代表论文的发表时间)