Improved model predictive control in current source converter
电流型变流器的改进模型预测控制

In traditional model predictive control(MPC),non-parameter model based on pulse response is usually adopted as predictive control model,which results in complex computation,so this method is difficult to implement directly in realtime control system.Improved MPC was proposed and applied to power factor correction system of current source converter(CSC).In the proposed MPC,the first-order differential equations were derived from the transfer functions of controlling variables and controlled variables in CSC,and the equations were used as predictive control model.Meanwhile,the merits of feedback correction and dynamic optimization in traditional MPC were reserved in the new MPC.The proposed MPC gets better robustness and faster dynamic characteristics than the traditional PID control when used in the CSC power factor correction system.