Systematic Finite-Control-Set Model Predictive Control Design with Unified Model for Isomorphic and Dual Power Converters

Finite-control-set model predictive control (FCS-MPC) has been applied to various power converters successfully in the last decades. However, the FCS-MPC algorithm for a power converter is usually a case-by-case design process. In this article, instead of designing an FCS-MPC scheme for power converters individually, a systematic FCS-MPC design framework is proposed. Firstly, the power converters are classified into associate converter groups based on isomorphic and dual relationships. Secondly, all converters in the associate group are modeled through unified models. Then, the same FCS-MPC framework can be shared between the converters with special relationships, which shows a significant simplification compared to the conventional design process. Also, the system performance of power converters in the associate group can be analyzed systematically. Various converters (e.g., three-phase current-source/voltage-source converter, single-phase T-type voltage-source converter) are selected as case studies in this work to show the feasibility of this work. Therefore, the systematic FCS-MPC design represents a universal design for a set of power converters while not only a specific one.