非线性磁链模型对永磁同步电机预测电流控制的影响分析

2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2021-11-20 DOI:10.1109/PRECEDE51386.2021.9680971

Zhang Huixuan, Fan Tao, Meng Liu, Bian Yuanjun

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引用次数: 2

摘要

传统无差拍预测电流控制具有动态响应快、易于实现等优点，是一种有效的电驱动控制策略。本文详细分析了非线性磁链模型对永磁同步电机无差拍控制算法的影响。分别引入了切线电感和割线电感的概念，推导了改进的基波模型。然后给出了被测电机的有限元分析结果。在此基础上，综合仿真结果表明，所提模型能有效提高电流环的控制性能。

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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Analysis of the Influence of Nonlinear Flux Models on Predictive Current Control in PMSM Drives

Conventional deadbeat predictive current control is a powerful control strategy for electric drive because of the advantages of fast dynamic response and easy implementation. In this paper, a detailed analysis about the influence of nonlinear flux models on deadbeat control algorithm for PMSM is presented. The concept of tangential inductance and secant inductance are introduced, respectively, and the improved fundamental-wave model is derived. Then the finite element analysis (FEA) results for the tested motor are presented. On this basis, comprehensive simulation results show that the proposed model can effectively improve the control performance of the current loop.

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2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

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