间接磁链辨识下永磁同步电机模型预测控制

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关键词：六相永磁同步电机;模型预测控制;最大转矩电流比;参数失配;间接磁链辨识;模型参考自

DOI：10.15938/j. emc.2025.11.002

中图分类号：TM351 文献标志码：A 文章编号：1007-449X（2025）11-0015-10

Model predictive control of PMSM under indirect flux linkage identification

WANG Mengdi， YANG Lu， YANG Kai， LUO Yixiao （School of ElectricalandElectronic Engineering，Huazhong Universityof ScienceandTechnology，Wuhan 430074，China）

Abstract：To address the strong parameter dependence of model predictive control （MPC） for six-phase permanent magnet synchronous motors （PMSM），an adjustable model predictive control （AMPC） method based on indirect flux linkage estimation was proposed. Specifically，a model reference adaptive system（MRAS） was first used to identify the inductance parameters. Then，the precise flux value was indirectly obtained based on the first-order differential function of the q-axis current.Finally，the identified inductance and flux parameters were applied to the design of the AMPC controller，thereby reducing the dependence of model predictive control on the accuracy of static parameters. In addition，the maximum torque per ampere （MTPA） control strategy based on an analytical method was adopted to determine the optimal operating point through online parameter identification，effctively improving the overal operating efficiency of the system. Simulation results show that the proposed MTPA-based AMPC control method maintains good control performance under parameter variations，verifying the effectiveness and superiority of this method.

Keywords：six-phase permanent magnet synchronous motor；model predictive control；maximum torque per ampere；parameter mismatch； indirect flux linkage identification；model reference adaptive system

0引言

永磁同步电机（permanent magnet synchronousmotor，PMSM）因为优异的动态性能和高效率而被广泛应用于工业领域[1]。（剩余14440字）