제어로봇시스템학회:학술대회논문집

제어로봇시스템학회 (Institute of Control, Robotics and Systems)
권호 표지

A learning control of DC servomotor using neural network

  • Kawabata, Hiroaki (Department of Communication Engineering, Faculty of Computer Science and System Engineering, Okayama Prefectural Univ.) ;
  • Yamada, Katsuhisa (Department of Electrical and Electronic Systems, College of Engineering, University of Osaka Prefecture) ;
  • Zhong, Zhang (Department of Communication Engineering, Faculty of Computer Science and System Engineering, Okayama Prefectural Univ.) ;
  • Takeda, Yoji (Department of Electrical and Electronic Systems, College of Engineering, University of Osaka Prefecture)
  • 발행 : 1994.10.01
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초록

This paper proposes a method of learning control in DC servomotor using a neural network. First we estimate the pulse transfer function of the servo system with an unknown load, then we determine the best gains of I-PD control system using a neural network. Each time the load changes, its best gains of the I-PD control system is computed by the neural network. And the best gains and its pulse transfer function for the case are stored in the memory. According the increase of the set of gains and its pulse transfer function, the learning control system can afford the most suitable I-PD gains instantly.

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