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

한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

Adaptive PID Controller for Nonlinear Systems using Fuzzy Model

  • Zonghua Jin (Department of Electronic Engineering, Pukyong National University) ;
  • Lee, Wonchang (Department of Electronic Engineering, Pukyong National University) ;
  • Geuntaek Kang (Department of Electronic Engineering, Pukyong National University)
  • 발행 : 2003.09.01
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초록

This paper presents an adaptive PID control scheme for nonlinear system. TSK(Takagi-Sugeno-Kang) fuzzy model is used to estimate the error of control input, and the parameter of PID controller are adapted using the error. The parameters of TSK fuzzy model are also adapted to plant. The proposed algorithm allows designing adaptive PID controller which is adapted to the uncertainty of nonlinear plant and the change of parameters. The usefulness of the proposed algorithm is also certificated by the several simulations.

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