A Real-time Fault Diagnosis Method of SACS based on Combination of Offline Identification and Online Observing

摘要：

A novel fault diagnosis method based on the combination of offline identification and online observing is proposed in this paper, which can meet the requirement of both model complexity and realtime need for the satellite attitude control system. Accurate neural network models, both normal mode and faulty mode, can be obtained by off-line identification based on the data of fault simulation in different fault modes. With a parallel estimator derived from all models With ail, fault determination based on threshold logic is designed for online fault detecting and isolating. Real-time simulation results, on the embedded fault simulation platform of satellite attitude control system, illustrate the effectiveness and superiority.

关键词： Offline Identification Neural network Real-time Fault Diagnosis Satellite Attitude Control System

作者: CEN Zhao-hui WEI Jiao-long Jiang Rui Liu Xiong

作者单位: Department of Electronics and Information Engineering, Huazhong University of Science and Technology,China

会议类型: 国际会议

会议名称: International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)

会议地点: 北京

会议语种:英文

页码: 1-7

在线出版日期: 2009-11-26（万方平台首次上网日期，不代表论文的发表时间）