Adaptive fuzzy sliding mode controller for a class of SISO nonlinear time-delay systems

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• 作者：Hafedh Abid ; Ahmed Toumi
• 关键词：T–S fuzzy system ; Sliding mode control ; Delay system ; Lyapunov–Krasovskii function ; Adaptive control
• 刊名：Soft Computing - A Fusion of Foundations, Methodologies and Applications
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：20
• 期：2
• 页码：649-659
• 全文大小：1,545 KB
• 参考文献：Abid H, Chtourou M, Toumi A (2006) Indirect adaptive fuzzy control scheme based on Lyapunov approach for a class of SISO nonlinear systems. Stud Inf Control 15(1):79–92
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• 作者单位：Hafedh Abid (1)
  Ahmed Toumi (1)
  
  1. ENIS Sfax, Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA), Sfax, Tunisia
  
• 刊物类别：Engineering
• 刊物主题：Numerical and Computational Methods in Engineering
  Theory of Computation
  Computing Methodologies
  Mathematical Logic and Foundations
  Control Engineering
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1433-7479

文摘

In this paper, we propose an adaptive fuzzy controller for a class of nonlinear SISO time-delay systems. The plant model structure is represented by a Takagi–Sugeno (T–S) type fuzzy system. The T–S fuzzy model parameters are adjusted online. The proposed algorithm utilizes the sliding surface to adjust online the parameters of T–S fuzzy model. The controller is based on adjustable T–S fuzzy parameters model and sliding mode theory. The stability analysis of the closed-loop system is based on the Lyapunov approach. The plant state follows asymptotically any bounded reference signal. Two examples have been used to check performances of the proposed fuzzy adaptive control scheme.