Adaptive fuzzy tracking control design for permanent magnet synchronous motors with output constraint

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• 作者：Wanmin Chang ; Shaocheng Tong
• 关键词：Permanent magnet synchronous motors (PMSM) system ; Fuzzy logic system ; Adaptive fuzzy control ; Backstepping design ; Barrier Lyapunov function (BLF)
• 刊名：Nonlinear Dynamics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：87
• 期：1
• 页码：291-302
• 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

In this paper, an adaptive fuzzy output feedback position tracking constraint control method is proposed for permanent magnet synchronous motors (PMSM) system. Fuzzy logic systems are used to approximate unknown nonlinearities. For the cases of the immeasurable states, a state observer is proposed to solve the immeasurable states problem. In the unified framework of adaptive backstepping control design and utilizing the barrier Lyapunov function method, an observer-based adaptive fuzzy output feedback tracking constraint control scheme is developed. The simulation results are given to illustrate the effectiveness of the proposed control method for the PMSM.