Online identification and input design method and device for wireless power transmission system

By employing online closed-loop identification and robust control methods, dynamic mode tracking and accurate modeling of the wireless power transmission system were achieved, improving the system's adaptive control capability and robustness, and solving the problem of poor identification accuracy in existing technologies.

CN121008468APending Publication Date: 2025-11-25WUHAN UNIV
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Patent Information

Application Number
CN202511084471.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-04
Publication Date
2025-11-25

AI Technical Summary

Technical Problem

Existing wireless power transfer systems lack real-time response capabilities when load parameters change, leading to a decline in closed-loop control performance. Furthermore, existing identification methods are difficult to adapt to dynamic changes, affecting identification accuracy and system robustness.

Method used

An online closed-loop identification method is adopted to construct a full-order model by estimating the transfer function parameters online and performing order adaptive reduction processing. Combined with a robust control method, the optimal excitation input is designed to minimize the disturbance, and a robust controller is constructed to realize the dynamic modal tracking and accurate modeling of the system.

Benefits of technology

It improves the modeling accuracy and real-time performance of wireless power transmission systems, enhances the system's adaptive control capability and robustness, and solves the problem of poor identification accuracy.

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Abstract

The invention provides an online identification and input design method and device for a wireless power transmission system, and the method comprises the steps: carrying out the online estimation of a transfer function parameter of a target system, and building an initial small signal model; constructing a full-order model corresponding to the target system, and performing order adaptive order reduction processing; determining a loss function of the target system by taking minimization of disturbance of the excitation signal to the target system as a target; on the basis of defining the loss function, constructing an optimization problem of the target system under disturbance constraint, and performing optimal excitation input design; and constructing a robust controller of the target system by adopting a robust control method in combination with the initial small signal model. According to the method, the system modal change can be tracked in real time under the closed-loop working condition, the modeling precision and the real-time performance are improved, and the problem that the identification precision is poor in the prior art is solved.
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