Weighting Factor-Free Model Predictive Control for Three-Level Buck Converters

Abstract

In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) algorithm is proposed. The cost function in this predictive control algorithm is designed to eliminate the dependency on the physical parameters of the circuit, which may have a high mismatch margin affecting the precision of the design. The algorithm is implemented for a three-level buck converter, and the simulation is compared to the classical FCS-MPC method. Compared to the classical MPC method, the proposed Lyapunov-based MPC method requires no gain tuning and has a simple design procedure while achieving comparable performance.