Parameter optimization strategy for operator-based robust nonlinear control of uncertain wireless power transfer systems by using genetic algorithm

Wireless power transfer systems can be used to charge electronic devices without electronic contact points. In order to realize the power management of the radio energy transmission system, DC-DC circuit is used to adjust the system parameters continuously. The sliding mode control method can be used in the control design of the radio energy transmission system of DC-DC circuit, which has fast dynamic response and simple implementation. However, how to design its parameters is an open and challenging question. This topic is mainly about how to optimize the weighted parameters of the sliding mode controller by using genetic algorithm to improve the tracking performance of the system. Finally, in order to verify the superiority of genetic algorithm to optimize the parameters of sliding mode control system, this design will be simulated by MATLAB, and compared with the sliding mode control effect before optimization, to verify the effectiveness of using genetic algorithm to optimize the parameters of sliding mode controller.