AESMF based sensor fault diagnosis for RUAVs
文献类型:会议论文
作者 | Wu C(吴冲)![]() ![]() ![]() |
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
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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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