제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Application of Fuzzy-PID Controller Based on Genetic Algorithm for Speed Control of Induction Motors

  • Yangwon Kwon (School of Electrical ＆ Electronics Engineering, Wonkwang University) ;
  • Park, Jongkyu (School of Electrical ＆ Electronics Engineering, Wonkwang University) ;
  • Haksoo Kang (Department of Electrical Engineering, Jeonju Technical Colleg) ;
  • Taechon Ahn (School of Electrical ＆ Electronics Engineering, Wonkwang University)
  • Published : 1999.10.01
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Abstract

This paper proposed a novel method for pseudo-on-line scheme using look-up table based on the genetic algorithm The technique is an pseudo-on-line method that optimally estimate the parameters of FPID controller for systems with non-linearity using the genetic algorithm which does not use the gradient and finds the global optimum of an unconstraint optimization problem. The proposed controller is applied to speed control of 3-phase induction motor and its computer simulation is carried out. Simulation results show that the proposed method is more excellent then conventional FPID and PID controllers.

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