Model Predictive Control Strategy for Stable Power Transmission of DWPT System Based on Mutual Inductance Identification

Dynamic wireless power transfer (DWPT) system has the problem of unstable transmission power caused by the change of coupling coefficient in the process of power transmission. This paper proposes a finite control set model predictive control (FCS-MPC) strategy based on mutual parameter identification for dynamic wireless power transfer system. The transmission characteristics of DWPT system with LCC-S resonant compensation topology is analyzed, and the output current of the inverter in the primary side is taken as reference for mutual inductance identification by particle swarm optimization (PSO) algorithm. Then, the FCS-MPC algorithm based on PSO is used to control the output voltage by changing phase-shift angle in the primary side. For precise control, the compensation calculation of the phase-shift angle is added. The simulation at the end of the paper verifies the accuracy of the PSO algorithm and the effects of proposed strategy under different coupling coefficients and load. The results indicate that the proposed strategy has fast transient response and stable power transmission in DWPT system which can be used to improve the system performance.