Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Position Control of Linear Synchronous Motor by Dual Learning

이중 학습에 의한 선형동기모터의 위치제어

  • Park, Jung-Il (Department of Electronic Engineering, Yeungnam Univ.) ;
  • Suh, Sung-Ho (Department of Electronic Engineering, Yeungnam Univ.) ;
  • Ulugbek, Umirov (Department of Electronic Engineering, Yeungnam Univ.)
  • Received : 2011.03.03
  • Accepted : 2011.10.01
  • Published : 2012.01.01
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Abstract

This paper proposes PID and RIC (Robust Internal-loop Compensator) based motion controller using dual learning algorithm for position control of linear synchronous motor respectively. Its gains are auto-tuned by using two learning algorithms, reinforcement learning and neural network. The feedback controller gains are tuned by reinforcement learning, and then the feedforward controller gains are tuned by neural network. Experiments prove the validity of dual learning algorithm. The RIC controller has better performance than does the PID-feedforward controller in reducing tracking error and disturbance rejection. Neural network shows its ability to decrease tracking error and to reject disturbance in the stop range of the target position and home.

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References

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