集成步长减小的IPM电机连续控制模型预测控制

A. Anuchin, D. Aliamkin, M. Lashkevich, V. Podzorova, L. Aarniovuori, R. Kennel
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引用次数: 3

摘要

本文提出了一种减少积分步长的连续控制集模型预测控制方法。通过减小积分步长,可以得到有限控制集流,对有限控制集流进行滤波,得到连续控制集。采用自适应滤波器可以提高参考电压的精度。这种方法适用于磁化曲线非线性较高的电机,可以考虑到这一点。给出了内嵌式永磁电机的仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model Predictive Control with Reduced Integration Step Size for Continuous Control of an IPM Motor
This paper presents an approach to continuous control set model predictive control, which uses reduced integration step size. The reduced integration step size allows to obtain a stream of finite control set, which can be filtered in order to obtain continuous control set. The Sinc-filter can be used to obtain improved accuracy of the voltage references. This approach is suitable for the motors with the high nonlinearity of the magnetization curve, which can be taken into account. The simulation results are presented in case of interior permanent magnet motor.
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