Adaptive fuzzy sliding mode control of input-delayed uncertain nonlinear systems through output-feedback

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• 作者：Mostafa Khazaee ; Amir H. D. Markazi ; Saeed T. Rizi ; Behzad Seyfi
• 关键词：Unknown input delay ; Uncertain nonlinear system ; Adaptive predictor ; AFSMC ; Overhead crane
• 刊名：Nonlinear Dynamics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：87
• 期：3
• 页码：1943-1956
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Vibration, Dynamical Systems, Control; Classical Mechanics; Mechanical Engineering; Automotive Engineering;
• 出版者：Springer Netherlands
• ISSN：1573-269X
• 卷排序：87

文摘

This paper deals with the design of stabilizing controllers for a class of uncertain nonlinear systems with unknown constant input time delay. A new control method is introduced which merges an adaptive fuzzy sliding mode predictor with an adaptive fuzzy sliding mode controller to circumvent the effects of the unknown time delay, nonlinearities, and unknown plant dynamics. The proposed predictor and controller can be implemented in the real time without recursive and tedious calculations and only by using output-feedback. The uniform ultimate boundedness of the closed-loop system is also guaranteed. Simulation and experiment studies on a nonlinear benchmark problem reveal the effectiveness of the proposed method.