一种新的永磁同步电机内部传动损耗最小化算法

H. Aorith, J. Wang, P. Lazari
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引用次数: 20

摘要

提出了一种新的内部永磁同步电机(IPMSM)驱动损耗最小化算法。通常,ipmms的效率是通过最小化铜或/和铁等可控损耗来提高的。然而,由于磁饱和的影响,IPMSM的参数会随着运行条件的变化而变化,而且铁损耗是高度非线性的,这都增加了寻找最小损耗解的难度。提出了一种考虑定子绕组电阻压降的IPMSM损耗最小化的最优电流查找表的生成方法。利用饱和效应引起的参数变化和高保真铁损模型,通过优化过程生成了查找表。通过仿真研究说明了损失最小化算法的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new Loss Minimization Algorithm for Interior Permanent Magnet Synchronous Machine drives
A new Loss Minimization Algorithm (LMA) for an Interior Permanent Magnet Synchronous Machine (IPMSM) drives is presented in this paper. Usually, IPMSMs efficiency is increased by minimizing the controllable loss such as copper or/and iron loss. However, the parameters of an IPMSM vary with operation conditions due to magnetic saturation, and the iron loss is highly non-linear, both of which increase the difficulties of searching the true minimum loss solution. A method of generating optimal currents look-up tables for IPMSM loss minimization with due account of the voltage drop on the stator windings resistor is proposed. The parameter variations due to saturation effects and a high fidelity iron loss model are employed to generate the look-up tables via an optimisation process. The utility of the loss minimisation algorithm is illustrated through simulation studies.
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