A Design of GA-based Fuzzy Controller and Truck Backer-Upper Control

GA 기반 퍼지 제어기의 설계 및 트럭 후진제어

  • 곽근창 (충북대 전기공학과) ;
  • 김주식 (충북대 전기전자및컴퓨터공학부) ;
  • 정수현 (대원과학대학 전기과)
  • Received : 2002.02.27
  • Accepted : 2002.05.28
  • Published : 2002.06.01

Abstract

In this paper, we construct a hybrid intelligent controller based on a fusion scheme of GA(Genetic Algorithm) and FCM(Fuzzy C-Means) clustering-based ANFIS(Adaptive Neuro-Fuzzy Inference System). In the structure identification, a set of fuzzy rules are generated for a given criterion by FCM clustering algorithm. In the parameter identification, premise parameters are optimally searched by adaptive GA. On the other hand, consequent parameters are estimated by RLSE(Recursive Least Square Estimate) to reduce the search space. Finally, we applied the proposed method to the truck backer-upper control and obtained a better performance than previous works.

Keywords