Modulated Model Predictive Current Control of Four-Switch Voltage Source Inverter-fed Brushless DC Motor

Xuliang Yao, Qi Guan, Haifei He, Jingfang Wang, Ruoqi Gao
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Abstract

In this paper, a modulated model predictive current control(MPCC) method is proposed to improve the control performance of the three phase four-switch voltage source inverter(FSVSI)-fed brushless dc motor(BLDCM). The feature of this topology is that phase-A is connected at the midpoint of the dc-link capacitors, which leads to the current in phase-A cannot be controlled directly. Based on the traditional two-phase conduction mode, the proposed method realizes the control of each phase current by modulating four switches separately. First, the operating principles are analyzed in detail. According to whether phase-a participates in conduction or commutation period, the operation modes in one cycle are divided into three types. The equivalent current predictive models are established in the light of different operating modes. Then the duty ratio of each switch is calculated directly according to the optimization function under different modes. Simulation results verify the correctness and effectiveness of the proposed method.
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四开关电压源逆变直流无刷电机的调制模型预测电流控制
为了提高三相四开关电压源逆变器(FSVSI)馈电无刷直流电机(BLDCM)的控制性能,提出了一种调制模型预测电流控制(MPCC)方法。这种拓扑的特点是a相连接在直流电容的中点,导致a相电流不能直接控制。该方法在传统两相导通方式的基础上,通过分别调制4个开关实现对各相电流的控制。首先,详细分析了其工作原理。根据a相是否参与导通期或换相期,将一个周期内的运行方式分为三种。针对不同的运行模式,建立了等效电流预测模型。然后根据不同模式下的优化函数直接计算各开关的占空比。仿真结果验证了该方法的正确性和有效性。
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