Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Controller Design Using a Fuzzy Theory and Genetic Algorithm

퍼지이론과 유전알고리즘의 합성에 의한 제어기설계

  • Oh, Jong-In (Dept.of Electrical & Control Eng., Hong Ik Univ.) ;
  • Lee, Kee-Seong (Dept.of Electrical & Control Eng., Hong Ik Univ.)
  • 오종인 (홍익대학교 전기제어공학과) ;
  • 이기성 (홍익대학교 전기제어공학과)
  • Published : 1998.11.28
Download PDF
⟨ Previous Next ⟩

Abstract

A position control algorithm for a inverted pendulum is studied. The proposed algorithm is based on a fuzzy theory and a steady state genetic algorithm(SSGA). The conventional fuzzy methods need expert's knowledges or human experiences. The SSGA, which is a optimization algorithm, tunes the input-output membership parameters and fuzzy rules automatically. The computer simulation to control a inverted pendulum is presented to illustrate the approaches.

Keywords