Model Predictive Control Strategy of Single Phase Inverter for Distributed Power Generators

Single-phase inverters serve as vital components in numerous applications, including motor drives, uninterruptible power supplies, and renewable energy systems. These systems are complicated, time-varying, and sensitive to perturbations; hence, sophisticated control techniques are required to guarantee peak performance. An effective and flexible way to deal with the complex problems related to single-phase inverters is Model Predictive Control (MPC). This research paper proposes employing a Field Programmable Gate Array (FPGA) controller to control a single-phase inverter using the MPC scheme. This controller can be applied to small distributed power generators. In contrast to PI and deadbeat, the MPC approach can manage Multiple Input and Multiple Output (MIMO) systems and offers a faster dynamic response. This system makes use of a discrete time equation model to determine the inverter's duty ratio and predict the amount of current for the next sample period. The proposed MPC scheme is simulated in MATLAB/Simulink for dynamic change in loads between 5 kW and 6 kW. A work bench is used to validate the MPC approach with a 0.5 kW lighting load. The outcomes demonstrate that the proposed MPC approach lowers the output current's Total Harmonic Distortion (THD) values to less than 5% with LCL filters. This shows that the MPC scheme enhances dynamic response during the sudden transition of loads.