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Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives

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  • Xuan Wu
  • Hui Wang
  • Xiaofang Yuan
  • Shoudao Huang
  • Derong Luo

Abstract

In order to control the permanent-magnet synchronous motor system (PMSM) with different disturbances and nonlinearity, an improved current control algorithm for the PMSM systems using recursive model predictive control (RMPC) is developed in this paper. As the conventional MPC has to be computed online, its iterative computational procedure needs long computing time. To enhance computational speed, a recursive method based on recursive Levenberg-Marquardt algorithm (RLMA) and iterative learning control (ILC) is introduced to solve the learning issue in MPC. RMPC is able to significantly decrease the computation cost of traditional MPC in the PMSM system. The effectiveness of the proposed algorithm has been verified by simulation and experimental results.

Suggested Citation

  • Xuan Wu & Hui Wang & Xiaofang Yuan & Shoudao Huang & Derong Luo, 2015. "Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-10, November.
    • Handle: RePEc:hin:jnlmpe:431734
    DOI: 10.1155/2015/431734
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