Sensorless Control of PMSM and BDCM Based On EMF Extraction And Extended Kalman Estimator

Mona Eskander, Osama Arafa, Osama Mahgoub
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引用次数: 7

Abstract

In this two-part paper, a powerful and accurate method for sensorless control of permanent magnet brushless motors is explained. The method doesn't include any modification to the classical construction of such motors and can be easily integrated within the drive electronics. It is applicable to both motor types, i.e. those with sinusoidal or trapezoidal back EMF. The method is independent of excitation current profile. It is also virtually independent of system parameters. The back EMF waveform is extracted online using simple and integration-free algebraic expression through a newly proposed measurement setup. It is then used within the corrective phase of an extended Kalman filter (EKF). The method functionality is tested by simulation for both motor types and for different excitation current profiles. Simulation results show a good performance at very low speed. This part introduces the topics common to both motor types and presents in detail the application of the proposed method to the case of sinusoidal back EMF machine.
基于电动势提取和扩展卡尔曼估计的PMSM和BDCM无传感器控制
本文分为两部分,阐述了一种强大而精确的永磁无刷电机无传感器控制方法。该方法不包括对此类电机的经典结构的任何修改,并且可以很容易地集成到驱动电子设备中。它适用于两种电机类型,即具有正弦或梯形反电动势的电机。该方法不受励磁电流分布的影响。它实际上也与系统参数无关。通过新提出的测量设置,使用简单且无积分的代数表达式在线提取反电动势波形。然后在扩展卡尔曼滤波器(EKF)的校正相位内使用它。通过对两种电机类型和不同励磁电流分布的仿真测试了该方法的功能。仿真结果表明,该算法在低速下具有良好的性能。这一部分介绍了两种电机类型的共同主题,并详细介绍了所提出的方法在正弦反电动势电机中的应用。
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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