Simplified Model Predictive Control for AC/DC Matrix Converters with Fixed Switching Frequency

Model predictive control (MPC) is emerging as an attractive method to control AC/DC matrix converter (MC). However, the high computational burden and variable switching frequency in the conventional MPC (C-MPC) is an obstacle for its real application. In order to overcome these problems, this paper presents a simplified model predictive control (S-MPC) with fixed switching frequency. The S-MPC eliminates all source current predictions in the C-MPC by using the required input current vector (RICV). Then, to achieve the fixed switching frequency, a combination of three input current vectors is selected to synthesis the RICV. By considering the location of RICV, the S-MPC can select the best combination without the cost function evaluations for all of the six candidate combinations. Therefore, the computational burden is significantly reduced in the S-MPC without degrading of the control performance. Simulation results are given to validate the effectiveness of the S-MPC.