volume | PIER Journals

Abstract

The traditional dual-vector model predictive torque control (MPTC) of permanent magnet synchronous motor suffers from the problems of large control computation, large torque ripple, and prediction deviation due to parameter mismatch. To address these issues, an enhanced robustness dual-vector MPTC (ERD-MPTC) control strategy is proposed in this paper. First, in order to reduce the control computation, a fast voltage vector selection table based on a 12-sector voltage vector map is proposed, which reduces the number of prediction iterations from 14 to only 3. Secondly, to reduce the ripple of torque and flux in one cycle, the cost function without weight factor is proposed. This cost function includes the fluctuations at the moment of the switching point. Then, for the bad effects of parameter mismatch, the inductance parameter is estimated by using the amount of error variation between the predicted value and the actual measured value at adjacent moments. So, an ERD-MPTC strategy to enhance the robustness of the prediction model in the presence of parameter mismatch is proposed by integrating the inductance updating mechanism and expanded state observer. Finally, through the experiment, it is shown that the proposed strategy can reduce the torque fluctuation, effectively reduce the adverse effects of parameter changes, and greatly improve the stability of the system.

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Dr. Hao Xie

Dr. Cheng Zhang

Dr. Yang Zhang

Dr. Sicheng Li