Design of PID adaptive control system combining Genetic Algorithms and Neural Network

유전알고리즘과 신경망을 결합한 PID 적응제어 시스템의 설계

  • 조용갑 (문경대학 정보통신과) ;
  • 박재형 (동아대학교 전자공학과) ;
  • 박윤명 (동아대학교 전자공학과) ;
  • 서현재 (동아대학교 전자공학과) ;
  • 최부귀 (동아대학교 전자공학과)
  • Published : 1999.03.01

Abstract

This Paper is about how to deside the best parameter of PID controller, using Genetic Algorithms and Neural Networks. Control by Genetic Algorithms, which is off-line pass, has weakness for disturbance. So we want to improve like followings by adding Neural Network to controller and putting it on line. First we find PID parameter by Genetic Algorithms in forward pass of Neural Network and set the best output condition according to the increasing number of generation. Second, we explain the adaptability for disturbance with simulation by correcting parameter by backpropagation learning rule by using the learning ability of Neural Network.

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