Fault diagnosis of satellite based on SVM observer

摘要：

Towards an general unknown actuator fault of the satellite attitude control system, this paper propose a new method based on SVM observer which use two LS-SVM regression models to identify the unknown fault and the nonlinear term respectively, because the training datasets of an unknown fault cannot be acquired before it occurred, we combine offline training with online incremental learning method to reduce the approximation error. In the last part, this method is applied to detect a kind of actuator fault, the simulation shows that the method proposed by this paper is effective.

关键词： LS-SVM SACS incremental learning

作者: ZhaoSh-ilei Zhang YIN-Chun

作者单位: Research Center of Satellite Technology Harbin Institute of Technology Harbin,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 654-657

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）