High-Accuracy Position Sensorless ZCP Detection In PMBLDC Motor Drive For LEV Applications

Biswajit Saha, Bhim Singh
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引用次数: 1

Abstract

This paper presents a new high precision position sensorless control of permanent magnet brushless DC (PMBLDC) motor suitable for a wide speed range in low-cost light EV (LEV)applications. Speed independent flux linkage function is used to estimate rotor positions that address a key challenge operating at low speed. Back EMF of the motor at low speed is small and is not accessible in practical scenarios. Here, the line voltage of the motor is sensed for sensorless algorithm, which is developed using basic mathematical model of PMBLDCM. The usage of low pass filter (LPF) creates magnitude attenuation and phase lag in the system. This lag in commutation signals causes serious current and torque ripple at lower speed. A compensation method with feedback loop is used to minimize delay and commutation errors. Speed estimation using virtual Hall signals has an inherent delay due to discrete position information. Therefore, an improved speed calculation method is presented with minimum delay. The proposed method is also suitable for regenerative braking. Results and analysis validate the reliability and stability of this method.
用于LEV应用的PMBLDC电机驱动的高精度无位置传感器ZCP检测
提出了一种适用于低成本轻型电动汽车(LEV)宽调速范围的永磁无刷直流(PMBLDC)电机高精度无位置传感器控制方法。速度无关磁链连接函数用于估计转子位置,解决了低速运行的关键挑战。电机在低速时的反电动势较小,在实际情况下难以接近。本文利用PMBLDCM的基本数学模型,开发了无传感器算法,对电机的线路电压进行检测。低通滤波器(LPF)的使用在系统中产生幅度衰减和相位滞后。这种换相信号的滞后在低速时导致严重的电流和转矩波动。采用带反馈回路的补偿方法,使延时和换相误差最小化。由于位置信息离散,使用虚拟霍尔信号进行速度估计具有固有的延迟。为此,提出了一种改进的速度计算方法。该方法同样适用于再生制动。结果和分析验证了该方法的可靠性和稳定性。
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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