Model Predictive Current Control of Mutually Coupled Switched Reluctance Machines using a Three-Phase Voltage Source Converter
Model Predictive Current Control of Mutually Coupled Switched Reluctance Machines using a Three-Phase Voltage Source Converter
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DOI：
10.1109/apec39645.2020.9124115
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发表时间：
2020-03
期刊：
影响因子：
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通讯作者：
Kun Hu;Lulu Guo;Jin Ye
中科院分区：
文献类型：
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作者：
Kun Hu;Lulu Guo;Jin Ye
本文提出了一种基于三相电压源变换器（VSC）的短间距互耦开关磁阻电机（MCSRMs）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。由于相间的强相互耦合，据我们所知，mcsrm的MPCC尚未得到研究。建立了基于离散时间域标准状态空间方程的二阶磁通预测模型，在此基础上通过求解约束优化问题实现了磁通的电流调节。随着最优占空比输入的减小，MPCC具有良好的电流跟踪能力，并通过三相正弦激励12/8 MCSRM的仿真验证了这一点。与迟滞电流控制相比，MPCC的电流响应具有更小的电流纹波和固定的开关频率。
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.