Model Predictive Control for Permanent Magnet Synchronous Motor Drives Considering Cross-Saturation Effects
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2017 IEEE. This paper presents a control strategy for permanent magnet synchronous motors (PMSMs) based on finite-state model predictive control (FS-MPC). The predictive model is enhanced by incorporating saturation and cross-coupling effects on the dq-axis flux linkages of the motor. Although a surface PMSM is used, the maximum torque per ampere (MTPA) trajectory is found dependent on both dq-axis currents and affected by geometrical saliencies. The dependence of the dq-axis inductances is inserted into the control law of the developed MPC routine, thus improving the model accuracy. The performance of the direct predictive torque controller is tested by controlling a PMSM drive supplied by a neutral-point clamped inverter. Implementation results have proven that the proposed control scheme can effectively satisfy the requirements that arise from both the PMSM and the inverter.
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2017 IEEE Applied Power Electronics Conference and Exposition (APEC)