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Robust fault detection of T-S fuzzy systems with time-delay using fuzzy functional observer

机译:模糊功能观测器时滞的T-S模糊系统的强大故障检测

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This paper presents a new fuzzy functional observer based fault detection technique for fuzzy systems with time-delay subject to exogenous disturbance. The estimation error of the fuzzy functional observer is used to obtain a residual to detect the fault. The proposed fault detection scheme does not require any threshold to compare with the residual. The exogenous disturbance is decoupled from the error dynamics using the concept of unknown input observers to ensure the robustness of the residual generator. The time-delay is considered to be time-varying and bounded. Sufficient conditions are presented to ensure the asymptotic stability of the observer by linear matrix inequality approach. The proposed design technique is illustrated and verified using examples to demonstrate its effectiveness for fault diagnosis. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文介绍了一种基于模糊功能观测器的基于模糊功能的模糊系统的故障检测技术,其具有外源干扰的时间延迟。模糊功能观察者的估计误差用于获得残留以检测故障。所提出的故障检测方案不需要任何阈值来与残差进行比较。外源干扰使用未知输入观察者的概念与误差动态分离,以确保残留发电机的稳健性。时间延迟被认为是时变和有界的。提出了充分的条件以通过线性矩阵不等式方法确保观察者的渐近稳定性。使用示例说明并验证了所提出的设计技术,以证明其对故障诊断的有效性。 (c)2019 Elsevier B.v.保留所有权利。

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