基于LUT全更新的无模型预测电流控制方法

A Model-free Predictive Current Control Method Based on LUT Full Update

传统的模型预测控制(MPC)是一种高度依赖于系统参数的控制方法,参数失配会降低其电流控制效果。针对此问题,此处提出了一种基于查找表(LUT)的三相逆变器无模型预测电流控制(MFPCC)方法,仅使用不同时刻采样电流的测量数据,不依赖系统的模型信息,从而减小参数不确定性的影响。该方法将每个电压矢量作用于一个周期引起的不同电流梯度存储于表中,用于电流估计和预测,通过表的全更新避免表中数据的更新停滞带来的影响。构建虚拟矢量,增加有效矢量控制集,有效降低了电流总谐波畸变率(THD)。实验结果验证了所提方法的有效性。该方法促进了新能源的利用以及电能质量的改进。

Traditional model predictive control(MPC)is highly dependent on system parameters,and parameter mismatch will reduce its current control effect.To solve this problem,a model-free predictive current control(MFPCC)method is proposed for three-phase inverter based on look-up table(LUT)which only uses the current measurement data sampled at different times and does not depend on the model information of the system,so as to reduce the influence of parameter uncertainty.In this method,different current gradients caused by one cycle of each voltage vector are stored in the table for current estimation and prediction,and the influence of data update stagnation in the table is avoided through full update of the table.The virtual vector is constructed and the effective vector control set is added to reduce the current total harmonic distortion(THD)effectively.Experimental results verify the effectiveness of the proposed method.The technology has potentials of improving new energy utilization and power quality.