Model-Free Composite Disturbance Rejection Control for Dynamic Wireless Charging System Based on Online Parameter Identification

This article focuses on regulating the output voltage of the dynamic wireless charging system (DWCS) for electric vehicles (EVs) without requiring model priori information. Prolonged charging time and limited energy storage capacity have hindered the widespread application of EVs, while the DWCS presents a promising solution to address the range anxiety issue. In this article, a model-free composite disturbance rejection control (MFC) scheme is designed for the control circuit of a DWCS to provide a stable and continuous energy supply for EVs. Specifically, an adaptive extended state observer is employed to estimate the unknown lumped disturbance in the charging circuit. An MFC law based on switching gain is designed to generate the desired duty cycle signal for the DWCS. An online parameter identification law is then developed to recover the unknown control input gain. A salient feature of the proposed scheme is that the system mathematical model need not be analyzed and established, and the external disturbances, circuit uncertainties, and unknown control input gain of the DWCS can be recovered simultaneously. Stability analysis proves that all the state error signals are bounded. Finally, simulation and experimental results substantiate the effectiveness of the proposed MFC scheme for the DWCS with constant output voltage regulation.