제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Torque Control of Brushless DC Motor Using a Clustering Adaptive Fuzzy Logic Controller

클러스터링 적응 퍼지 제어기를 이용한 브러시리스 직류 전동기의 토크 제어

  • 권정진 (전북대학교 제어계측공학과) ;
  • 한우용 (전주공업대학교 전기과) ;
  • 이창구 (전북대학교 전자정보공학부) ;
  • 김성중 (전북대학교 전자정보공학부)
  • Published : 2000.10.01
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Abstract

A Clustering Adaptive Fuzzy Logic Controller(CAFLC) is applied to the torque control of a brushless do motor drive. Objective of this system includes elimination of torque ripple due to cogging at low speeds under loads. The CAFLC implemented has advantages of computational simplicity, and self-tuning characteristics. Simulation results showed that the torque ripple and dynamic response of the system using a CAFLC were superior to the model reference adaptive controlled system.

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