自适应连续集模型预测控制在逆变器上的应用

Application of Adaptive Continuous Control Set Model Predictive Control in Inverters

此处提出了一种基于自适应连续集模型预测控制(CCS-MPC)的并网逆变器电流控制方法。该方法将自适应CCS-MPC与正弦脉宽调制(SPWM)相结合,直接计算出最佳开关状态,无需像常规预测控制中评估所有可用开关状态。该方法还可以实现在线参数修正,从而提高输出电流控制精度。与比例积分(PI)控制等传统电流控制方法相比,该控制方法具有更好的动态性能。给定值突变时,电流恢复时间和过冲等瞬态特性也得到显著改善。最后,通过实验结果验证了所提方法的有效性。

A current control method based on adaptive continuous control set model predictive control(CCS-MPC)for gridconnected inverters is proposed.The method combines adaptive CCS-MPC with sinusoidal pulse width modulation(SPWM)to directly calculate the optimal switching state without evaluating all available switching states as in conventional predictive control.It can also realize online parameter correction,thereby improving the output current control accuracy.Compared with traditional current control methods such as proportional integral(PI)control,it has better dynamic characteristics.When the set value is abrupt,the transient characteristics such as current recovery time and overshoot are also significantly improved.Finally,the effectiveness of the proposed method is verified by experimental results.