Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Design of Fuzzy PID Controller Using GAs and Estimation Algorithm

유전자 알고리즘과 Estimation기법을 이용한 퍼지 제어기 설계

  • Roh, Seok-Beom (School of Electrical and Electronic Engineering, Wonkwang University) ;
  • Oh, Sung-Kwun (School of Electrical and Electronic Engineering, Wonkwang University)
  • Published : 2001.11.24
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper a new approach to estimate scaling factors of fuzzy controllers such as the fuzzy PID controller and the fuzzy PD controller is presented. The performance of the fuzzy controller is sensitive to the variety of scaling factors[1]. The desist procedure dwells on the use of evolutionary computing(a genetic algorithm) and estimation algorithm for dynamic systems (the inverted pendulum). The tuning of the scaling factors of the fuzzy controller is essential to the entire optimization process. And then we estimate scaling factors of the fuzzy controller by means of two types of estimation algorithms such as Neuro-Fuzzy model, and regression polynomial [7]. This method can be applied to the nonlinear system as the inverted pendulum. Numerical studies are presented and a detailed comparative analysis is also included.

Keywords