Data-driven modeling and control of wireless energy transfer system for smart gateway
In order to solve the problem that in the wireless power transfer(WPT)system of smart gateway equipment on high-voltage power transmission line,the degradation of the system control performance due to model mismatch may occur during installation or after a certain period of work,a design method of internal model controller based on data-driven modeling is proposed to update the controller parameters and optimize the control effect.It uses the system's input-output data to obtain the transfer function model,avoiding the need for precise measurement of component parameters required by traditional mechanistic modeling methods.To address the issue of wireless communication delay during the data collection process,this paper proposes low-cost delay measurement scheme,obtains the system delay model,and designs the controller parameters based on this model.In addition,the article further analyzes the performance of the internal model controller,and discusses the influence of the internal model controller parameter λon the control effect of the controller.The experimental results show that the model can accurately reflect the dynamic performance of the system through the matching of the model parameters and the evaluation time delay.Secondly,if the internal model controller parameter λ is selected appropriately,when the load resistance value,DC input voltage,or reference value of the controller changes,the system output can be adjusted to the set value,and the adjustment time is within 30 ms,and the system has good dynamic characteristics.
wireless power transfersystem identificationinternal model controlsmart gatewaythe least square
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