Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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The position and Speed Control of a DC Servo-Motor Using Fuzzy-Neural Network Control System

퍼지-뉴럴 제어 시스템을 이용한 직류 서보 전동기의 위치 및 속도 제어

  • Kang, Young-Ho (Department of Electrical Engineering, Kon-Kuk University) ;
  • Jeong, Heon-Joo (Department of Electrical Engineering, Kon-Kuk University) ;
  • Kim, Man-Cheol (Department of Electrical Engineering, Kon-Kuk University) ;
  • Kim, Nak-Kyo (Department of Electrical Engineering, Kon-Kuk University)
  • Published : 1993.07.18
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Abstract

In this paper, Fuzzy-Neural Network Control system that has the characteristic of fuzzy control to be controlled easily end the good characteristic of a artificial neural network to control the plant due to its learning is presented. A fuzzy rule to be applied is selected automatically by the allocated neurons. The neurons correspond to Fuzzy rules which ere created by a expert. To adaptivity, the more precise modeling is implemented by error beck-propagation learning of adjusting the link-weight of fuzzy membership function in Fuzzy-Neural Network. The more classified fuzzy rule is used to include the property of Dual Mode Method. To test the effectiveness of the algorithm presented above, the simulation for position end velocity of DC servo motor is implemented.

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