적응 뉴로-퍼지 추론 시스템을 이용한 스윙-업 도립진자 제어

Control of a Swing-up Inverted Pendulum by an Adaptive Neuro Fuzzy Inference System

  • 김근기 (광운대학교 제어계측공학과) ;
  • 유창완 (광운대학교 제어계측공학과) ;
  • 홍대승 (광운대학교 제어계측공학과) ;
  • 신자호 (광운대학교 제어계측공학과) ;
  • 최창호 (광운대학교 제어계측공학과) ;
  • 최용길 (광운대학교 제어계측공학과) ;
  • 송영목 (광운대학교 제어계측공학과) ;
  • 임화영 (광운대학교 제어계측공학과)
  • Kim, Keun-Ki (Dep. of Control & Instrumentation Eng. Kwangwoon Univ.) ;
  • Yu, Chang-Wan (Dep. of Control & Instrumentation Eng. Kwangwoon Univ.) ;
  • Hong, Dae-Seung (Dep. of Control & Instrumentation Eng. Kwangwoon Univ.) ;
  • Sin, Ja-Ho (Dep. of Control & Instrumentation Eng. Kwangwoon Univ.) ;
  • Choe, Chang-Ho (Dep. of Control & Instrumentation Eng. Kwangwoon Univ.) ;
  • Choe, Yong-Gil (Dep. of Control & Instrumentation Eng. Kwangwoon Univ.) ;
  • Song, Yeong-Mok (Dep. of Control & Instrumentation Eng. Kwangwoon Univ.) ;
  • Yim, Wha-Yeong (Dep. of Control & Instrumentation Eng. Kwangwoon Univ.)
  • 발행 : 2001.07.18

초록

Fuzzy controller design consists of intuition, and any other information about how to control system, into a set of rules. These rules can then be applied to the system. It is very important to decide parameters of IF-THEN rules. Because fuzzy controller can make more adequate force to the plant by means of parameter optimization, which is accomplished by learning procedure. In this paper, we apply fuzzy controller designed to the Swing-UP Inverted pendulum.

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