Continuous Control Set Model Predictive Control for Inductive Power Transfer System with Constant Voltage Load

This paper presents a continuous control set model predictive control (CCS-MPC) method for reducing oscillations in an inductive power transfer (IPT) charging system with constant voltage load (CVL). The proposed power control method inherently reduced the output fluctuations by minimizing the error between the actual power and the reference power, which is expressed as a cost function. Then, by solving this optimization problem, the optimal pulse density can be obtained for pulse density modulation (PDM) techniques in order to adjust the average sending voltage. This optimal pulse density is applied to enhanced/pulse density modulation (E/PDM) based on delta-sigma modulator (DSM) approach. The proposed CCS-MPC based on EPDM regulates power transfer control to ensure high efficiency by maintaining the low current/power ripple, fast dynamic response and achieving zero voltage switching (ZVS) in a full operation range. To verify the performance and effectiveness of the proposed control method, a comparison between the proposed CCS-MPC and PI control methods based on different modulators has been tested in MATLAB/Simulink.