Dynamic Improvement and Efficiency Optimization of Wireless Power Transfer Systems Using Improved FCS-MPC and P&O Methods

This article proposes a novel control scheme using finite-control-set model predictive control (FCS-MPC) and perturbation and observation (P&O) method for the dynamic improvement and efficiency optimization of dual-side
LCL
compensated wireless power transfer systems. First, the rectifier at the secondary side incorporates the proposed FCS-MPC with adaptive step-size and improved cost function to achieve the fast response of output voltage. The linear extended state observer is designed to combine with FCS-MPC to avoid using extra current sensors. The two-stage series prediction method is proposed to reduce the computational burden. Meanwhile, on the premise of ensuring the stability of output voltage, the inverter at the primary side is controlled by the adaptive P&O method for maximum energy efficiency tracking (MEET) by minimizing the input dc current. Different system stages, i.e., tracking stage and oscillation stage, for MEET are defined and distinguished. The adaptive perturbation step-size is designed according to different system stages so as to remove the tradeoff between the oscillation and convergence rate in the conventional method. Finally, the effectiveness of the cooperative control of FCS-MPC and adaptive P&O method is verified by experimental results.