퍼지 적응 법칙을 갖는 기준모델 적응제어기 설계

The Design of MRAC with Fuzzy Adaptation Law

  • 조종훈 (건국대학교 전기공학과) ;
  • 권혁진 (건국대학교 전기공학과) ;
  • 서승현 (건국대학교 전기공학과) ;
  • 문동욱 (건국대학교 전기공학과) ;
  • 남문현 (건국대학교 전기공학과)
  • Cho, Jong-Hoon (Dept. of Electrical Engineering, Kon-Kuk University) ;
  • Kwon, Hyuk-Jin (Dept. of Electrical Engineering, Kon-Kuk University) ;
  • Seo, Seung-Hyun (Dept. of Electrical Engineering, Kon-Kuk University) ;
  • Moon, Dong-Uk (Dept. of Electrical Engineering, Kon-Kuk University) ;
  • Nam, Moon-Hyon (Dept. of Electrical Engineering, Kon-Kuk University)
  • 발행 : 1995.07.20

초록

In this paper we proposed new scheme replacing adaptive mechanism part in MRAC by fuzzy logic in order to improve transient response in adaptive control system. Conventional adaptive control system has good performance in steady state but it has large error or problem with rise time in transient state. We need to increase adaptation gain of control variable but it causes robustness problem that makes ststem unstable for set-point, load-variation, and dynamic change. To demonstrate presented FTAC(fuzzy tunning adaptive control)'s superiority, presented method is introduced for a class of SISO systems and compare with MRAC. By analyzing simulation result, we can see transient response is improved and the system is not affected by disturbance in proposed method in comparison to MRAC.

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