基于矢量空间解耦的六相H桥逆变器模型预测控制研究

Study on Model Predictive Control for Six-Phase H-Bridge Inverters Based on Vector Space Decomposition

摘要: 针对六相H桥逆变器控制精度低、谐波成分较高等问题，本文研究了基于矢量空间解耦(Vector Space Decomposition, VSD)的六相H桥逆变器模型预测控制(Model Predictive Control, MPC)方法。该方法首先基于VSD将六相H桥逆变器输出矢量映射到αβ基波平面、xy谐波平面和o₁o₂零序平面，接着在对不同平面矢量关系深入分析的基础上，以矢量空间分布为切入点进行电压矢量分层，并以不同子平面的逐步优化为精简原则将逆变器729个电压矢量精简至12个，在消除谐波及零序分量对六相H桥逆变器控制效果影响的同时大幅提高了运算速率。结果表明：经过优化后的控制策略在电流波形的跟踪性能、谐波抑制及系统响应方面均表现出优异的效果。为复杂电力系统的高效控制提供了可行的解决方案。

Abstract: Aiming at the problems of low control accuracy and high harmonic composition of six-phase H-bridge inverters, this paper studies a model predictive control (MPC) method for six-phase H-bridge inverters based on vector space decomposition (VSD). The method first maps the output vectors of the six-phase H-bridge inverter to the αβ fundamental plane, xy harmonic plane and o₁o₂ zero-sequence plane based on VSD, and then, based on the in-depth analysis of the vector relationship between different planes, the voltage vector stratification is carried out with the vector space distribution as the entry point, and the 729 voltage vectors of the inverter are reduced to 12 based on the principle of gradual optimization of different subplanes. The operation rate is greatly improved while eliminating the influence of harmonics and zero-sequence components on the control effect of the six-phase H-bridge inverter. The results show that the optimized control strategy shows excellent effects in the tracking performance, harmonic suppression and system response of the current waveform. It provides a viable solution for efficient control of complex power systems.