Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Robust Control of Uncertainty Systems by Fuzzy Auto-Tuning

Fuzzy 자동동조에 의한 불확실성 공정의 견실제어

  • Ryu, Y.G. (Department of Control and Instrumentation, Wonkwang University) ;
  • Choi, J.N. (Department of Control and Instrumentation, Wonkwang University) ;
  • Kim, J.K. (Department of Control and Instrumentation, Wonkwang University) ;
  • Mo, Y.S. (Department of Control and Instrumentation, Wonkwang University) ;
  • Hwang, H.S. (Department of Control and Instrumentation, Wonkwang University)
  • 류영국 (원광대학교 제어계측공학과) ;
  • 최정내 (원광대학교 제어계측공학과) ;
  • 김진권 (원광대학교 제어계측공학과) ;
  • 모영승 (원광대학교 제어계측공학과) ;
  • 황형수 (원광대학교 제어계측공학과)
  • Published : 1999.07.19
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Abstract

In this paper, we propose a method which control parametric uncertainty systems using PID controller by fuzzy auto tuning. We get the error and the error change rate of plant output correspond to the initial value of parameter using the Ziegler-Nickols tuning and determine the new proportional gain$(K_p)$ and the integral time $(T_i)$ from fuzzy tuner by the error and error change rate of plant output as a membership function of fuzzy theory. The Fuzzy Auto-tuning algorithm for PID controller operate to adapt variable parameter of plant in parametric uncertainty systems. It is shown this method considerably improve the transient response at computer simulation.

Keywords