Execution Time Reduction and Weighting Factor Elimination in FCS-MPC for High-level Converters

فاقد چكيده فارسي

The Finite set model predictive control method (FCS-MPC) is a well-known controller. FCS-MPC is a multiobjective control method with a fast transient response which can be utilized widely in various applications. However, this control method suffers from high computational burden besides its numerous benefits. Also, tuning weighting factors are required to deal with different control objectives which, is another drawback of this controller. This paper proposes a targeted search procedure to suppress high computational burden and eliminate weighting factors in the FCS-MPC. A nine-level converter that connects photovoltaic modules to the gird is considered as an example to explain the proposed procedure. In this regard, the conventional FCS-MPC method divided into three steps which, each step targets one control objective with much lower execution time. Hence, along with the significant computational burden reduction, the weighting factors are eliminated too. The simulations are carried out in MATLAB-Simulink environment and results compared with the conventional method in the steady-state and transient conditions to illustrate the performance of the proposed method.