一种改进的电压源逆变器无模型预测控制方法

An Improved Model-free Predictive Control Method for Voltage Source Inverter

针对传统电压源逆变器模型预测控制(MPC)中存在模型依赖性强和电流纹波大的问题,提出一种基于扰动补偿的无模型预测控制(MFPC)方法。该方法首先通过设计全阶滑模观测器(SMO)估计集中扰动,改进电压源逆变器的超局部预测模型,提高了预测控制对模型参数的鲁棒性;其次,在基本电压矢量的基础上构建了新的虚拟电压矢量,扩大了预测控制中的矢量选择范围,降低了电压源逆变器的输出电流纹波。最后,通过实验验证了所提方法的可行性与有效性。

Aiming at the problems of strong model dependence and large current ripple in conventional voltage source inverter model predictive control(MPC),a model-free predictive control(MFPC) method based on disturbance compensation is proposed.In this method,a full-order sliding mode observer(SMO) is designed to estimate the lumped disturbance,which improves the ultra-local model of the inverter and the robustness of the predictive control to the model parameters,Then based on the basic voltage vectors,new virtual voltage vectors are constructed,which expands the vector selection range in predictive control and reduces the output current ripple of voltage source inverter.Finally,the feasibility and effectiveness of the proposed method are verified by experiments.