Control of switched-inductor quasi Z-Source Inverter (SL-qZSI) based on model predictive control technique (MPC)

Model Predictive Control (MPC) becomes more prevalent in power converters due to its faster response in tracking the reference values of the controlled variables. In this paper, the MPC is applied on the Switched-Inductor quasi Z-Source Inverter (SL-qZSI) topology. The MPC modeling for the capacitor voltage, inductor current, and output load current of the topology are designed to predict their values in the future. These prediction values are compared with the reference values to compose the cost function and then the switching state is selected to achieve the minimum cost function. The validation of the modeling is investigated by simulation under MATLAB platform. Then, it is also confirmed by experimental work using a laboratory prototype.