标题:Robust fault detection filter for nonlinear networked control system
作者:Qi, Xiaomei ;Wang, Chang ;Liu, Lina
作者机构:[Qi, Xiaomei ;Liu, Lina ] College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo; 255000, China;[Wang, Chang ] Acad 更多
会议名称:2018 Chinese Automation Congress, CAC 2018
会议日期:November 30, 2018 - December 2, 2018
来源:Proceedings 2018 Chinese Automation Congress, CAC 2018
出版年:2019
页码:1963-1966
DOI:10.1109/CAC.2018.8623027
摘要:A study of robust fault detection filter for the nonlinear networked control system (NCS) with data dropouts is investigated. From controller to actuator, a variable is used to describe random data dropouts in communication link, which follow the Bernoulli distribution. In this study, the residual generator is designed by an observer-based robust fault detection filter, and a novel stochastic nonlinear NCS is established as the model of residual dynamical system(RDS). An optimal performance index is presented to manage the issue of uncertainties, which is to enhance the robustness of the residual generator against the random data dropouts and nonlinearity, without significant loss of the sensitivity to faults. Then, the sufficient condition of asymptotical mean-square stability for the RDS is proposed, and the suitable robust fault detection filter is designed by LMIs. An adaptive threshold is presented in residual evaluation. At last, an example is used to demonstrate the validity of the proposed fault-detection approach.
© 2018 IEEE.
收录类别:EI
资源类型:会议论文
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