飞行器网络控制系统在线故障检测算法

王明明; 王青; 董朝阳

飞行器网络控制系统在线故障检测算法

1.
北京航空航天大学, 自动化科学与电气工程学院, 北京 100191
2. 北京航空航天大学, 航空科学与工程学院, 北京 100191

基金项目: 国家自然科学基金资助项目(60974014,61074027)

详细信息

中图分类号: TP273
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- 被引次数: 0
出版历程
- 收稿日期: 2011-03-29
- 网络出版日期: 2012-06-30

Online fault detection of networked control systems for flight vehicles

1.
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
2. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 针对飞行器网络控制系统具有网络诱导时延且采样周期较短的情况,提出了一种飞行器网络控制系统在线故障检测算法.考虑未知时延对网络控制系统的影响,建立飞行器网络化控制系统故障检测模型.基于此模型,构造了残差生成器,将故障检测问题转化为最小化优化问题.以矩阵Moore-Penrose逆的形式给出该最小化优化问题的解,在每个采样周期内进行飞行器网络控制系统在线故障检测.数值算例表明:当飞行器网络控制系统存在未知时延时,该故障检测算法对故障敏感,同时对未知时延引起的扰动具有鲁棒性.
- 飞行器 /
- 网络控制系统 /
- 故障检测 /
- Moore-Penrose逆
Abstract: An online fault detection algorithm for the networked control system of flight vehicle was proposed considering the network-induced delay and the short sampling period. The fault detection model was established for the impact of the unknown time-delay. Based on the model, the residual generator was constructed and the fault detection of networked control systems was converted to the minimum optimization problem. Furthermore, the solution of the problem was given in the form of Moore-Penrose Inverse of matrix, and the fault detection algorithm was optimized in every sampling period. The numerical example shows that the proposed fault detection method is sensitive to the fault, and it is also robust to the unknown disturbance caused by the unknown delay.
- flight vehicle /
- networked control system /
- fault detection /
- Moore-Penrose inverse

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参考文献(12)

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