Research On Model Predictive Control Of Magnetic Coupling Wireless Power Transfer System

When the radio energy transmission system is working,the parameters of the system will change,which will cause the system control performance to be greatly affected,so it is necessary to realize the controllable output of the radio energy transmission system.The existing control methods can not consider the dynamic response and multi-objective control problem.The multi-objective control method of radio energy transmission system with good dynamic response is still to be studied.In this paper,two predictive control algorithms are proposed: continuous control set model predictive control method and finite control set model predictive control method.Compared with the existing control strategy,the dynamic performance of the system can be improved,and the multi-objective control requirements can be met.The mathematical model of the magnetic coupled radio energy transmission system is established,including steady-state model and small signal model.Two control algorithms of the existing control strategies are studied: PI control and sliding mode control.The PI control strategy system has good steady-state performance and simple principle,but it is difficult to obtain the required dynamic response based on the small signal linearization technology,and it is difficult to realize the soft switch.The sliding mode control has good dynamic performance and strong robustness,but the output voltage ripple is large.Two predictive control algorithms are proposed.Firstly,a continuous control set model predictive controller with maximum efficiency point tracking is designed,and its control principle is described.The proposed control algorithm is based on phase shifting modulation and adopts the maximum efficiency point tracking technology based on load matching.The principle is simple and intuitive,and the dynamic performance is good.To improve the accuracy and stability of the controller,the controller algorithm adds parameter identification to identify mutual inductance and load resistance,which ensures the accuracy of the system model.Then,a finite control set model predictive controller with maximum efficiency point tracking is proposed,which is based on the principle of pulse density modulation.The design method of controller is introduced,including the design of control set,prediction model and target function.The core idea of the control algorithm is rolling optimization,which is simple in principle,without modulator and good dynamic performance.The simulation and experimental comparison of the proposed algorithm are carried out.The simulation model of the magnetic coupled radio energy transmission system is built in the environment of PLECS.The steady-state performance,dynamic performance,and system efficiency of the four control algorithms,namely PI control,sliding mode control,continuous control set model predictive control and finite control set model predictive control,are compared,and the effectiveness of the proposed algorithm is verified.The experimental platform of the magnetic coupled radio energy transmission system is built,which focuses on solving the synchronization and low delay communication of the two side converters.The four control algorithms are compared and verified.The experimental results are consistent with the simulation results,and the effectiveness of the proposed algorithm is further verified.