中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
AESMF based sensor fault diagnosis for RUAVs

文献类型:会议论文

作者Wu C(吴冲); Qi JT(齐俊桐); Han JD(韩建达)
出版日期2012
会议名称2012 24th Chinese Control and Decision Conference, CCDC 2012
会议日期May 23, 2012 - May 25, 2012
会议地点Taiyuan, China
关键词Fault tolerant computer systems Navigation systems Nonlinear equations Probability distributions
页码3384-3389
中文摘要An Adaptive Extended Set-Member Filter (AESMF) with the adaptive selection scheme of the filter parameters is incorporated with the nonlinear attitude state estimation equation to build a sensor fault diagnosis system which can provide guaranteed sensor fault detection. Compared with other sensor fault diagnosis systems based on Kalman Filter (KF) or other probability based methods which can just provide a fault probability distribution but not tell the exact result, in this paper, with the advantage of ellipsoid bound of set-member, we try to implement AESMF to tackle this problem and provide the exact fault diagnosis result. The AESMF is incorporated into the navigation system equation and the sensor fault diagnosis method is introduced. Simulations are conducted and the algorithm is compared with the EKF based navigation system, the result demonstrates the improvement of this method. © 2012 IEEE.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012
会议录出版者IEEE Computer Society
会议录出版地Washington, DC
语种英语
ISBN号978-1-4577-2072-7
WOS记录号WOS:000323966203088
源URL[http://ir.sia.cn/handle/173321/9865]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Wu C,Qi JT,Han JD. AESMF based sensor fault diagnosis for RUAVs[C]. 见:2012 24th Chinese Control and Decision Conference, CCDC 2012. Taiyuan, China. May 23, 2012 - May 25, 2012.

入库方式: OAI收割

来源:沈阳自动化研究所

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