Unknown input Extended Kalman Filter-Based Fault Diagnosis for Satellite Actuator

摘要：

Unknown input Kalman filterflJIKF) is extended to nonlinear systems, and then applied to detect the early gradual faults of satellite flywheels to improve the timeliness of fault detection, to avoid the occurrence of major accidents. A set of structured residuals are constructed to achieve fault isolation, and Wald sequence detection method is employed to process filter residuals. Finally, the fault diagnosis logic is given. Numerical simulation results show that this method is effective and able to quickly detect faults.

关键词： satellite actuator fault diagnosis UIKF sequence detection

作者: Wang Zhi Wu Hong-fang

作者单位: Computer Science and Engineering College Xian Technological University Xian 710032, China Luoyang Optoelectro Technology Development Center Aviation Industries of China Luoyang 471009, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 485-488

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）