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Model predictive torque control of permanent magnet synchronous motor using nov-el analytic weighting factor assignment

  

  • Received:2022-07-11 Revised:2022-09-21 Online:2022-09-22 Published:2022-09-22
  • Contact: Li-Ming Yan

Abstract: In finite control set-predictive torque control of permanent magnet synchronous motor(PMSM), the optimal coordinat-ed regulation of multiple control objectives depends on the allocation of weighting factors. Due to the lack of theoretical guidance, the design of weighting factor usually adopts the rated value method or cut-and-trial method, which cannot realize the coordinated control of electromagnetic torque and stator flux amplitude of PMSM under multiple operating conditions. To solve this problem, a model predictive torque control of PMSM with novel analytical weighting factor con-figuration is proposed in this paper. Firstly, this paper studies the influence of weighting factor in cost function on the control performances of electric drive system by simulation method. Secondly, the derivation process and mathematical expression of analytical weighting factor are described in detail. Considering that the analytical weighting factor and prediction model depend on the motor parameters, this paper integrates the online motor parameter identification tech-nology. Compared with traditional predictive torque control, the proposed method has better dynamic, steady-state and robustness performances.

Key words: model predictive control, permanent magnet synchronous machine, predictive torque control, weighting factor, optimal control

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