International journal of advanced smart convergence

  • 제10권2호
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  • Pages.175-186
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  • 2021
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  • 2288-2847(pISSN)
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  • 2288-2855(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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Improved BP-NN Controller of PMSM for Speed Regulation

  • Feng, Li-Jia (Dept. of Energy Electrical Eng., Graduate School, Woosuk University) ;
  • Joung, Gyu-Bum (Dept. of Energy Electrical Eng., Graduate School, Woosuk University)
  • 투고 : 2021.05.21
  • 심사 : 2021.05.26
  • 발행 : 2021.06.30
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초록

We have studied the speed regulation of the permanent magnet synchronous motor (PMSM) servo system in this paper. To optimize the PMSM servo system's speed-control performance with disturbances, a non-linear speed-control technique using a back-propagation neural network (BP-NN) algorithm forthe controller design of the PMSM speed loop is introduced. To solve the slow convergence speed and easy to fall into the local minimum problem of BP-NN, we develope an improved BP-NN control algorithm by limiting the range of neural network outputs of the proportional coefficient Kp, integral coefficient Ki of the controller, and add adaptive gain factor β, that is the internal gain correction ratio. Compared with the conventional PI control method, our improved BP-NN control algorithm makes the settling time faster without static error, overshoot or oscillation. Simulation comparisons have been made for our improved BP-NN control method and the conventional PI control method to verify the proposed method's effectiveness.

키워드

과제정보

This research was supported by the Ministry of Trade, Industry & Energy (MOTIE), Korea Agency for Technology and Standards (KATS) for Standard Program - 20006875

참고문헌

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