Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Genetically Optimized Induction Moter Control with Pseudo-on-line Method

유전자 알고리즘으로 최적화된 Pseudo-on-line 방법을 이용한 하이브리드 유도전동기 제어

  • Jang, Kyung-Won (School of Electrical Electronic & Information Engineering, Wonkwang University) ;
  • Kang, Jin-Hyun (School of Electrical Electronic & Information Engineering, Wonkwang University) ;
  • Ahn, Tae-Chon (School of Electrical Electronic & Information Engineering, Wonkwang University) ;
  • Peters, James F. (Department of Electrical and Computer Engineering, University of Manitoba)
  • 장경원 (원광대학교 공과대학 전기전자 및 정보공학부) ;
  • 강진현 (원광대학교 공과대학 전기전자 및 정보공학부) ;
  • 안태천 (원광대학교 공과대학 전기전자 및 정보공학부) ;
  • Published : 2002.07.10
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Abstract

This paper introduces a hybrid induction motor control using a genetically optimized pseudo-on-line method. Optimization results from the use of a look-up table based on genetic algorithms to find the global optimum of a un-constraint optimization problem. The approach to induction motor control includes a pseudo-on-line procedure that optimally estimates parameters of a fuzzy PID (FPID) controller. The proposed hybrid genetic fuzzy PID (GFPID) controller is applied to speed control of a 3-phase induction motor and its computer simulation is carried out. Simulation results show that the proposed controller is performs better than conventional FPID and PID controllers. The contribution of this paper is the introduction of a high performance hybrid form of induction motor control that makes on-line and real-time control of the drive system possible.

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