Membership function-dependent robust sliding mode fault-tolerant control for T-S fuzzy systems with disturbances: A preset sliding band scheme

IF 3.1 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Fuzzy Sets and Systems Pub Date : 2026-06-15 Epub Date: 2026-02-11 DOI:10.1016/j.fss.2026.109817
Weiwei Tu
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引用次数: 0

Abstract

In this article, the issue of robust sliding mode fault-tolerant control is investigated for Takagi-Sugeno (T-S) fuzzy systems in the presence of actuator failures and disturbances. With a modified barrier function as well as a membership function-dependent sliding variable exploited, a novel sliding mode control scheme is developed such that a fuzzy reduced-order sliding mode is established without reaching phase. In comparison with the state-of-the-art results, the findings features series of merits. First, the sliding mode controller is proposed via the property of a class of modified barrier functions, the responses of fuzzy systems are within a preset sliding band, in which the sliding mode cannot be lost even though in the occurrence of faulty modes. Second, more designs of degree are provided via the proposal for calibrating the upper boundaries of system trajectories. Third, upon a membership function-dependent sliding variable, a reduced-order sliding mode with parallel distribution compensation (PDC) control framework is derived, which are with less conservativeness results than the classic ones of reduced-order sliding mode. Finally, some examples for simulation are offered to confirm the theoretical schemes.
具有干扰的T-S模糊系统的隶属函数相关鲁棒滑模容错控制:一种预设滑动带方案
本文研究了Takagi-Sugeno (T-S)模糊系统在执行器故障和干扰情况下的鲁棒滑模容错控制问题。利用改进的障碍函数和隶属函数相关的滑动变量,提出了一种新的滑模控制方案,使模糊降阶滑模在不到达相位的情况下建立。与最先进的结果相比,研究结果具有一系列优点。首先,利用一类修正障函数的性质,提出了滑模控制器,使模糊系统的响应在预设的滑动带内,即使出现故障模式也不会丢失滑模。其次,通过提出标定系统轨迹上边界的方案,提供了更多的度设计。第三,基于隶属度函数相关的滑动变量,推导了具有并行分布补偿(PDC)的降阶滑模控制框架,该框架比经典的降阶滑模控制具有更小的保守性。最后,通过算例对理论方案进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Fuzzy Sets and Systems
Fuzzy Sets and Systems 数学-计算机:理论方法
CiteScore
6.50
自引率
17.90%
发文量
321
审稿时长
6.1 months
期刊介绍: Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.
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