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Model Predictive Current Control of Mutually Coupled Switched Reluctance Machines using a Three-Phase Voltage Source Converter

机译:使用三相电压源转换器的互耦开关磁阻电机的模型预测电流控制

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In this paper, a model predictive current controller (MPCC) is proposed for short-pitched mutually coupled switched reluctance machines (MCSRMs) using a three-phase voltage source converter (VSC) to achieve fast dynamics and advanced current tracking ability. Due to strong mutually coupling between phases, to our knowledge, MPCC for MCSRMs has not been studied yet. A two-order flux-based prediction model of the MCSRMs using the VSC is presented with standard state space equations in discrete-time domain, based on which, the current regulation is achieved by solving a constrained optimization problem. With the receding optimal duty ratio input, MPCC demonstrates good current tracking ability, which is verified by simulations with a three-phase, sinusoidal excitation 12/8 MCSRM. Compared to hysteresis current control, the current response with MPCC bears lower current ripples and a fixed switching frequency.
机译:本文针对使用三相电压源转换器(VSC)的短间距互耦开关磁阻电机(MCSRM)提出了一种模型预测电流控制器(MPCC),以实现快速动态和先进的电流跟踪能力。由于阶段之间的强相互耦合,据我们所知,尚未研究MCSRM的MPCC。利用离散时域中的标准状态空间方程,给出了基于VSC的MCSRM的基于二阶通量的预测模型,在此基础上,通过求解约束优化问题来实现电流调节。随着最佳占空比输入的降低,MPCC展示了良好的电流跟踪能力,这已通过三相正弦激励12/8 MCSRM的仿真得到验证。与迟滞电流控制相比,MPCC的电流响应具有较低的电流纹波和固定的开关频率。

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