Model Predictive Control of LC Filter Integrated Quasi-Z-Source Indirect Matrix Converter

The LC filter integrated quasi-Z source indirect matrix converter (QZS-IMC) filters the input voltages and currents while highly expanding voltage boost ratio through the combined QZS network, avoiding the additional input filter while maintaining full-silicon solution. The traditional proportional-integral (PI) control method of IMC is realized through the PI regulators with pulse width modulation (PWM), which is complicated due to elaborated vectors computation and duty cycle composition of IMC and extra control loops design is mandatory. This paper proposes a model predictive control (MPC) for the LC filter integrated QZS-IMC. Based on the established discrete models of circuit voltages and currents, the proposed control method measures the present circuit variables and predicts the variables in the next sampling period. Then, a predefined cost function is evaluated with the predictions and references at each active switching states of the IMC. An optimal switching state that ensures the smallest value of the cost function is applied to the power devices at the beginning of next sampling time. Simulation studies are carried out to demonstrate effectiveness of the proposed MPC for the LC filter integrated QZS-IMC.