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Robust Fault Detection for Switched Fuzzy Systems With Unknown Input
IEEE Transactions on Cybernetics ( IF 9.4 ) Pub Date : 2017-10-03 , DOI: 10.1109/tcyb.2017.2755864
Jian Han , Huaguang Zhang , Yingchun Wang , Xun Sun

This paper investigates the fault detection problem for a class of switched nonlinear systems in the T-S fuzzy framework. The unknown input is considered in the systems. A novel fault detection unknown input observer design method is proposed. Based on the proposed observer, the unknown input can be removed from the fault detection residual. The weighted H∞ performance level is considered to ensure the robustness. In addition, the weighted H_ performance level is introduced, which can increase the sensibility of the proposed detection method. To verify the proposed scheme, a numerical simulation example and an electromechanical system simulation example are provided at the end of this paper.

中文翻译:


未知输入的切换模糊系统的鲁棒故障检测



本文研究了TS模糊框架下一类切换非线性系统的故障检测问题。系统中考虑未知输入。提出了一种新颖的故障检测未知输入观测器设计方法。基于所提出的观测器,可以从故障检测残差中去除未知输入。考虑加权H∞性能水平以确保鲁棒性。此外,引入加权H_性能水平,可以增加所提出的检测方法的灵敏度。为了验证所提出的方案,本文最后提供了数值仿真例子和机电系统仿真例子。
更新日期:2017-10-03
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