A Sugeno-Fuzzy Tuning Approach of Weighting Factor in Model Predictive Control for PV Grid-Tied PUC7 Multi-Level Inverter
Billel Talbi, Fateh Krim, Abdelbaset Laib, Abdeslem Sahli, Badreddine Babes
Abstract
Recently, the application of model predictive control (MPC) in energy conversion systems has been extensively investigated both theoretically and experimentally. Different MPC techniques have been proposed to control multi-level inverters in grid-tied operation, permitting high performance and fast dynamic response. The optimization employed in MPC strategies is based on a cost function minimization, where control purposes are combined by using weighting factors. Nevertheless, the choice of weighting factors is attained through offline and online search approaches and they are heavily dependent on the system parameters. To overcome this drawback, an online tuning of weighting factor based on Sugeno-fuzzy approach in MPC for photovoltaic (PV) grid-tied system using PUC7 (Seven-level packed U-cell) inverter is suggested in this work. Simulation tests are presented to confirm the performance of the proposed control strategy.