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Controlling Chaos in Permanent Magnet Synchronous Motor Control System via Fuzzy Guaranteed Cost Controller

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  • Yi-You Hou

Abstract

This paper investigates the guaranteed cost control of chaos problem in permanent magnet synchronous motor (PMSM) via Takagi‐Sugeno (T‐S) fuzzy method approach. Based on Lyapunov stability theory and linear matrix inequality (LMI) technique, a state feedback controller is proposed to stabilize the PMSM systems. An illustrative example is provided to verify the validity of the results developed in this paper.

Suggested Citation

  • Yi-You Hou, 2012. "Controlling Chaos in Permanent Magnet Synchronous Motor Control System via Fuzzy Guaranteed Cost Controller," Abstract and Applied Analysis, John Wiley & Sons, vol. 2012(1).
    • Handle: RePEc:wly:jnlaaa:v:2012:y:2012:i:1:n:650863
    DOI: 10.1155/2012/650863
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    Cited by:

    1. Tat-Bao-Thien Nguyen & Teh-Lu Liao & Hang-Hong Kuo & Jun-Juh Yan, 2014. "An Improved Adaptive Tracking Controller of Permanent Magnet Synchronous Motor," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    2. Chun-Yen Ho & Hsien-Keng Chen & Zheng-Ming Ge, 2012. "Design of PDC Controllers by Matrix Reversibility for Synchronization of Yin and Yang Chaotic Takagi‐Sugeno Fuzzy Henon Maps," Abstract and Applied Analysis, John Wiley & Sons, vol. 2012(1).
    3. Ping Zhou & Rui Ding, 2012. "Modified Function Projective Synchronization between Different Dimension Fractional‐Order Chaotic Systems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2012(1).
    4. Xiaobing Zhou & Murong Jiang & Xiaomei Cai, 2014. "Finite‐Time Chaos Control of a Complex Permanent Magnet Synchronous Motor System," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).

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