Optimized Current Control of Vienna Rectifier Using Finite Control Set Model Predictive Control

This paper is concerned with finite control set model predictive control (FCS-MPC) method for the current control of a Vienna rectifier. Vienna rectifier has received a lot of attention in recent years as a practical high-power rectifier. This topology presents good performance in terms of input current quality with lower number of controlled switches as compared to other active rectifier structures. Such high-power rectifiers always use current control schemes in order to achieve fast and reliable performance. Among various current control methods, model predictive control (MPC) method is well suited for implementation with microprocessors. Furthermore, by using finite control set model predictive control (FCS-MPC) method, many performance criteria can be defined as cost functions and optimized simultaneously. This will result in very good performance without increasing controller complexity. The basic concepts of Vienna rectifier switching strategy with space-vector modulation (SVM) technique is presented. The implementation of FCS-MPC for Vienna rectifier is described. The selection of optimum control law with the aim of optimizing a cost function is explained. The theoretical analysis is verified using a laboratory-type 500 W experimental setup.