Vector control of permanent magnet synchronous motor with surface magnet using artificial neural networks

J. Zare
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引用次数: 9

Abstract

This paper describes the vector control of a three phase permanent magnet synchronous motor with surface magnet (PMSM) drive using artificial neural networks. After reviewing the advantages of this solution, a possible vector control schemes for PMSM drives based on the principle of rotor flux oriented control is considered. Based on motor dynamics and non-linear load characteristics, an ANN speed controller is developed and integrated with the vector control scheme of the PMSM drive. The simulation results at various operating conditions validate the efficiency of the ANN for precise speed control of the PMSM drive and the feasibility of the proposed control system. Furthermore the use of ANN makes the drive system robust, accurate and insensitive to parameter variations.
基于人工神经网络的表面磁体永磁同步电机矢量控制
本文介绍了用人工神经网络对表面磁体驱动的三相永磁同步电动机进行矢量控制。在分析了该方案的优点后,提出了一种基于转子磁链定向控制原理的永磁同步电机矢量控制方案。基于电机动力学和非线性负载特性,开发了一种人工神经网络速度控制器,并将其与永磁同步电机的矢量控制方案相结合。在各种工况下的仿真结果验证了人工神经网络对永磁同步电机驱动精确速度控制的有效性和所提控制系统的可行性。此外,人工神经网络的应用使驱动系统具有鲁棒性、准确性和对参数变化不敏感的特点。
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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