Steady-State Efficiency Optimization Method for PMSM Considering Current Distribution and Iron Loss Resistance

IF 4 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems II: Express Briefs Pub Date : 2024-06-28 DOI:10.1109/TCSII.2024.3420783

Hanquan Zhang;Dong Xiao

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引用次数: 0

Abstract

Conventional control strategy for permanent magnet synchronous machine (PMSM) has the defect of low steady-state efficiency as a result of ignoring iron loss resistance and unreasonable current distribution. In this brief, a steady-state efficiency improvement method considering the current distribution coefficient and iron loss resistance is proposed. Firstly, iron loss resistance is incorporated into equivalent circuit and mathematical model of the PMSM in d-q rotating coordinate frame. Secondly, steady-state reference current components of the d-axis and q-axis are analytically calculated by current distribution coefficients, two computational models that can accurately predict iron loss resistance under the condition of known and unknown hysteresis and eddy current loss parameters are derived and proposed for the first time. Finally, experimental comparison with conventional methods such as

$i_{\mathrm { d}}{=}0$

and MTPA proves validity and superiority for our proposed method.

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考虑电流分布和铁损电阻的 PMSM 稳态效率优化方法

传统的永磁同步电机（PMSM）控制策略由于忽略了铁损电阻和不合理的电流分布，存在稳态效率低的缺陷。本文提出了一种考虑电流分布系数和铁损电阻的稳态效率改进方法。首先，将铁损电阻纳入 PMSM 在 d-q 旋转坐标系下的等效电路和数学模型中。其次，通过电流分布系数分析计算了 d 轴和 q 轴的稳态参考电流分量，首次推导并提出了两个计算模型，可在已知和未知磁滞和涡流损耗参数条件下准确预测铁损电阻。最后，通过与 $i_{\mathrm { d}}{=}0$ 和 MTPA 等传统方法的实验比较，证明了我们提出的方法的有效性和优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Circuits and Systems II: Express Briefs 工程技术-工程：电子与电气

CiteScore

7.90

自引率

20.50%

发文量

883

审稿时长

3.0 months

期刊介绍： TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: Circuits: Analog, Digital and Mixed Signal Circuits and Systems Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic Circuits and Systems, Power Electronics and Systems Software for Analog-and-Logic Circuits and Systems Control aspects of Circuits and Systems.