Finite-Control-Set Model Predictive Control to Suppress Oscillations in Inductive Power Transfer Systems with Constant Voltage Load

Abstract

This paper presents a finite-control-set model predictive control (FCS-MPC) strategy for pulse density modulation (PDM) in inductive power transfer (IPT) systems. The main purpose of this method is to suppress current/power ripples while ensuring high efficiency and fast dynamic response. The proposed control method is based on a nonlinear model of the IPT system when charging a battery appearing as a constant voltage load (CVL) and considers all the possible switching states for each period within the control horizon. The switching states are obtained based on optimal decision variables at each sampling time which provide the minimum value of the cost function. This results in the skipping of voltage pulses, which ensures that zero voltage switching (ZVS) occurs over the full range of operation. Moreover, by predicting the future behaviour of the studied system, the proposed control method will inherently suppress oscillations that can be excited by the skipped voltage. As a result, the system's performance is improved with respect to high efficiency and fast dynamic response. The effectiveness and performance of the proposed control method are verified by the simulation results.

Finite-Control-Set Model Predictive Control to Suppress Oscillations in Inductive Power Transfer Systems with Constant Voltage Load