Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Control of a Swing-up Inverted Pendulum by an Adaptive Neuro Fuzzy Inference System

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  • 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.)
  • 김근기 (광운대학교 제어계측공학과) ;
  • 유창완 (광운대학교 제어계측공학과) ;
  • 홍대승 (광운대학교 제어계측공학과) ;
  • 신자호 (광운대학교 제어계측공학과) ;
  • 최창호 (광운대학교 제어계측공학과) ;
  • 최용길 (광운대학교 제어계측공학과) ;
  • 송영목 (광운대학교 제어계측공학과) ;
  • 임화영 (광운대학교 제어계측공학과)
  • Published : 2001.07.18
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Abstract

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.

Keywords