引用本文:王佳伟,王振华,沈毅.切换系统的同时故障估计与容错控制[J].控制理论与应用,2017,34(1):85~92.[点击复制]
WANG Jia-wei,WANG Zhen-hua,SHEN Yi.Simultaneous fault estimation and fault tolerance control for switching systems[J].Control Theory and Technology,2017,34(1):85~92.[点击复制]
切换系统的同时故障估计与容错控制
Simultaneous fault estimation and fault tolerance control for switching systems
摘要点击 2626  全文点击 2102  投稿时间：2016-04-11  修订日期：2016-12-26
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/CTA.2017.60215
  2017,34(1):85-92
中文关键词  故障诊断  容错控制  切换系统  同时故障估计与容错控制  加权H1 性能指标  平均驻留时间  多 Lyapunov函数  松弛矩阵
英文关键词  fault diagnosis  fault tolerance  switching systems  simultaneous fault estimation and fault tolerance control  weighted H1 performance index  average dwell time  multiple Lyapunov functions  relaxation matrix
基金项目  国家自然科学基金项目(61021002, 61273162, 61403104), 中央高校基本科研业务费专项资金(HIT. KLOF. 2015.076)资助.
作者单位E-mail
王佳伟 哈尔滨工业大学 wangjiawei1982@163.com 
王振华 哈尔滨工业大学  
沈毅* 哈尔滨工业大学 shen@hit.edu.cn 
中文摘要
      当切换系统发生故障时, 通常需要依次进行故障诊断和容错控制. 为了提高切换系统故障诊断的可靠性和 容错控制的及时性, 本文提出一种同时故障估计与容错控制方法. 针对满足平均驻留时间约束的线性切换系统, 首 先建立了基于状态观测器的同时故障估计与容错控制器, 并将其设计问题转化为了加权H1性能指标下增广误差 系统的多目标求解问题. 然后使用平均驻留时间技术和多Lyapunov函数方法设计了故障估计与容错控制器的参数, 又通过松弛矩阵方法进一步得到了保守性较低的结果. 最后, 利用一个例子对本文所提方法进行了仿真, 证实了该 方法的有效性.
英文摘要
      When fault occurs in the switching systems, fault diagnosis and fault tolerance control are usually required to be implemented successively. In order to improve the reliability of fault diagnosis and the timeliness of fault tolerance control for switching systems, this paper proposes a simultaneous fault estimation and fault tolerance control method. For linear switching systems satisfying the average dwell time constraint, simultaneous fault estimation and fault tolerance controller is firstly established based on the state observer, and the design problem is formulated as solving a multi-objective problem of the augmented error system under weighted H1 performance index. Then the average dwell time technique and multiple Lyapunov functions method are used to design the parameters for the proposed simultaneous fault estimator and fault tolerance controller. Moreover, less conservative result is obtained through the relaxation matrix method. Finally, a numerical example is simulated to verify the effectiveness of the proposed method.