Controlling Chaos in Permanent Magnet Synchronous Motor ControlSystem via Fuzzy Guaranteed Cost Controller | Zendy

YiYou Hou | Zendy

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

Author(s) -

YiYou Hou

Publication year - 2012

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2012/650863

Subject(s) - control theory (sociology) , mathematics , controller (irrigation) , chaos (operating system) , linear matrix inequality , fuzzy logic , permanent magnet synchronous motor , state (computer science) , lyapunov stability , full state feedback , stability (learning theory) , control (management) , fuzzy control system , computer science , magnet , mathematical optimization , engineering , algorithm , artificial intelligence , mechanical engineering , computer security , machine learning , agronomy , biology

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

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