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Adaptive Fuzzy Control of Yo-yo System Using Neural Network

  • Lee, Seung-ha (School of Electrical Engineering and Computer Science, Kyungpook National Univ.) ;
  • Lee, Yun-Jung (School of Electrical Engineering and Computer Science, Kyungpook National Univ.) ;
  • Shin, Kwang-Hyun (Digital Contents Research Division, ETRI) ;
  • Bien, Zeungnam (Korea Advanced Institute of Science and Technology)
  • Published : 2004.09.01

Abstract

The yo-yo system has been introduced as an interesting plant to demonstrate the effectiveness of intelligent controllers. Having nonlinear and asymmetric characteristics, the yo-yo plant requires a controller quite different from conventional controllers such as PID. In this paper is presented an adaptive method of controlling the yo-yo system. Fuzzy logic controller based on human expertise is referred at first. Then, an adaptive fuzzy controller which has adaptation features against the variation of plant parameters is proposed. Finally, experimental results are presented.

Keywords

References

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