Commutation Torque-ripple Minimization for Brushless DC Motor Based on Quasi-Z-Source Inverter

Qian Xun, Yujing Liu
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Abstract

Conventional brushless DC Motor (BLDCM) drive involves a voltage-source inverter with six-step squarewave control, which can be widely used in automated industrial applications. However, high torque ripple due to different current slew rates during the commutation interval would significantly reduce the performance in the high-precision area. To tackle this problem, the paper proposes a novel strategy to reduce the commutation torque-ripple by using a quasi-Z-source inverter. In which, an impedance network is implemented between the power supply and the voltage-source inverter. This could make the equivalent DC-link voltage boosted during the commutation interval to compensate the current dip of commutation phase, and keep incoming and outgoing phase current changing at the same rate. In Matlab/Simulink environment, proposed scheme is developed and simulated. Finally, the effectiveness of the proposed control strategy is validated, the torque ripple can be greatly reduced and with the increased average torque.
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基于准z源逆变器的无刷直流电动机换相转矩脉动最小化
传统的无刷直流电动机(BLDCM)驱动是一种具有六步方波控制的电压源逆变器,可以广泛应用于自动化工业应用。然而,在换相区间内,由于电流转换速率不同而产生的高转矩纹波将大大降低高精度领域的性能。为了解决这一问题,本文提出了一种利用准z源逆变器减小换相转矩脉动的新策略。其中,在电源和电压源逆变器之间实现阻抗网络。这可以使等效直流电压在整流间隔内得到提升,以补偿整流相的电流下降,并保持输入和输出相电流以相同的速率变化。在Matlab/Simulink环境下,对该方案进行了开发和仿真。最后,验证了所提控制策略的有效性,随着平均转矩的增大,转矩脉动可以大大减小。
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