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分布式网络环境下系统跳变执行器故障诊断
引用本文:程前帅,乔殿峰,侯彦东.分布式网络环境下系统跳变执行器故障诊断[J].上海应用技术学院学报,2015,15(3):248-253.
作者姓名:程前帅  乔殿峰  侯彦东
作者单位:河南大学 图像处理与模式识别研究所,河南 开封 475000;河南大学 图像处理与模式识别研究所,河南 开封 475000;河南大学 图像处理与模式识别研究所,河南 开封 475000
基金项目:国家自然科学基金资助项目(61374134;U1204611)
摘    要:针对存在输入干扰的分布式网络环境下系统跳变执行器故障问题,建立了连续时间马尔可夫跳变执行器故障系统模型,并设计了残差生成器.对于多系统网络传输下存在系统跳变的情况,首先在空间几何方法中的不可观测子空间以及空间分割投影运算基础上,运用H∞优化技术和线性矩阵不等式(LMI)方法完成残差生成器参数求解,实现残差对输入的解耦以及与故障的对应关系,并通过残差输出值与预设阈值对比来确定系统中的故障情形,最终完成分布式网络下系统跳变的执行器故障检测与隔离.通过仿真实验验证了算法的有效性.

关 键 词:分布式网络  故障检测与隔离  马尔科夫跳变  不可观测子空间

Actuator Fault Diagnosis for System Jumping under Distributed Network Circumstance
CHENG Qianshuai,QIAO Dianfeng and HOU Yandong.Actuator Fault Diagnosis for System Jumping under Distributed Network Circumstance[J].Journal of Shanghai Institute of Technology: Natural Science,2015,15(3):248-253.
Authors:CHENG Qianshuai  QIAO Dianfeng and HOU Yandong
Institution:Institute of Image Processing and Pattern Recognition Henan University, Kaifeng 475000, Henan, China;Institute of Image Processing and Pattern Recognition Henan University, Kaifeng 475000, Henan, China;Institute of Image Processing and Pattern Recognition Henan University, Kaifeng 475000, Henan, China
Abstract:To solve the problem of system jumping actuator fault problems under the environment of distributed network, the continuous-time Markov jump system with actuator fault was molded and the residual generator was designed. In view of the case of system jumping under the multi-systems network transmission, and based on the unobservability subspace and space division projective operation of space geometry approach, the filter parameters were obtained by utilizing the optimization technique and Linear Matrix Inequality (LMI) method. As a result, the inputs were decoupled from residuals and the relationships between residuals and faults were correlated. Furthermore, by comparing and analyzing the residual inputs and preset thresholds, the actuator faults were determined, by which the problem of system jumping actuator faults detection and isolation in the distributed network was addressed. Simulation results demonstrated the effectiveness of the proposed method.
Keywords:distributed network  fault detection and isolation  Markovian jump  unobservability subspace
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