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Structure Optimization of Fuzzy Model Using PSO

PSO를 이용한 퍼지 모델의 구조 최적화

  • 김두현 (한양대 전자전기제어계측공학과) ;
  • 한병조 (한양대 전자전기제어계측공학과) ;
  • 이석용 ((주)삼현) ;
  • 양해원 (한양대 전자컴퓨터공학부)
  • Received : 2012.01.03
  • Accepted : 2012.03.28
  • Published : 2012.04.01

Abstract

This paper proposed PSO-Fuzzy controller design method. We could improve the learning performance of fuzzy controller by using PSO algorithm, which had recently showed its robust of performance while solving various difficult optimization problems. In other words, our aim was to forward the controller is performance by deciding fuzzy model structure that had good performance on optimization of the controller, based on PSO. During a simulation, we could see whether the mobile robot could convergence on the final goal or not, and also see the error, and through this process, we found out that this controller is more robust than the conventional controller.

Keywords

References

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