Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Fuzzy Modeling of a PMSM Chaotic System

  • Zhong Li (Dept. of Electrical and Computer Eng., Yonsei Univ) ;
  • Joo, Young-Hoon (School of Electronics and Information Eng., Kunsan Univ) ;
  • Park, Jin-Bae (Dept. of Electrical and Computer Eng., Yonsei Univ)
  • Published : 2000.11.01
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Abstract

In this paper, a mathematical model of a permanent-magnet synchronous motor (PMSM) is derived, and the steady-state characteristics of this system, when subject to constant input voltages and constant external torque, are formulated. It is shown that the PMSM model can exhibit a variety of chaotic phenomena, under some choices of system parameters and external inputs. Based on TS fuzzy modeling methodology, the TS fuzzy model of the PMSM chaotic system is presented, so the interaction between fuzzy system and chaos can be explored, and then fuzzy-model-based control methodologies can be used to control chaos in chaotic systems. Computer simulations show that the strange attractors in the derived TS fuzzy system and original chaotic system are topologically equivalent.

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