Model predictive torque control of permanent magnet synchronous motor using novel analytic weighting factor assignment

In finite control set-predictive torque control of Permanent Magnet Synchronous Motor (PMSM), the optimal coordinated 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 configuration is proposed in this paper. Firstly, the influence of weighting factor in the cost function on the control performances of electric drive system is studied by the simulation method. Secondly, the derivation process and mathematical expression of analytical weighting factors are described. Considering that the analytical weighting factor and the prediction model depend on the motor parameters, this paper integrates the online motor parameter identification technologies. Compared with traditional predictive torque control, the proposed method has better dynamic and steady-state and robustness performances. © 2022 AAAS Press of Chinese Society of Aeronautics and Astronautics. All rights reserved.