한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)

한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

퍼지 모델을 이용한 적응 PID 제어기 설계

Design of Adaptive PID Controller with Fuzzy Model

  • 김종화 (부경대학교 대학원 전자공학과) ;
  • 이원창 (부경대학교 대학원 전자공학과) ;
  • 강근택 (부경대학교 대학원 전자공학과)
  • 발행 : 2002.12.01

⟨ 이전 논문 다음 논문 ⟩

초록

This paper presents an adaptive PID control scheme with fuzzy model for nonlinear system. TSK(Takagi-Sugeno-Kang) fuzzy model was used to estimate the error of control input, and the parameter of PID controller was adapted from the error The parameter of TSK fuzzy model was also adapted to plant by comparing the activity output of plant and model output. PID controller which was adapted the uncertainty of nonlinear plant and the change of parameter can be designed by using the presented method. The usefullness of algorithm which was proposed by the simulation of several nonlinear system was also certificated.

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