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Fault detection for T-S fuzzy systems with partly unmeasurable premise variables

机译:具有部分不可测前提变量的T-S模糊系统的故障检测

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摘要

This paper studies the fault detection problem for T-S fuzzy systems with partly unmeasurable premise variables. By using measurable premise variables and estimations of unmeasurable premise variables of fuzzy models as the premise variables of observers, a novel fuzzy fault detection observer scheme is constructed and the corresponding design condition is proposed via a set-theoretic description. Different from the conventional fault detection observer schemes, where all premise variables of the observer are the estimations of the premise variables in the fuzzy systems, the proposed method can take full advantage of the partly measurable premise variables for achieving a better fault detection performance. A numerical example is given to illustrate the effectiveness of the proposed method. (C) 2017 Elsevier B.V. All rights reserved.
机译:本文研究了具有部分不可测前提变量的T-S模糊系统的故障检测问题。以模糊模型的可测前提变量和不可测前提变量的估计作为观测者的前提变量,构造了一种新颖的模糊故障检测观测器方案,并通过集合论的描述提出了相应的设计条件。与传统的故障检测观测器方案不同,在传统的故障检测观测器方案中,观测器的所有前提变量都是模糊系统中前提变量的估计值,该方法可以充分利用部分可测量的前提变量来实现更好的故障检测性能。数值例子说明了该方法的有效性。 (C)2017 Elsevier B.V.保留所有权利。

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