An ipt system control design method and system considering load perturbation

Abstract

The invention discloses an IPT system control design method and system considering load perturbation. The method includes the steps of: establishing a load perturbation GSSA model of the IPT system based on the load perturbation range of the IPT system, and describing the system of the load perturbation GSSA model by using a nominal system transfer function and a load weighting coefficient used to describe the load uncertainty range Transfer function, where the nominal system transfer function is the corresponding system transfer function when the load of the IPT system is the rated load, and the load weighting coefficient is solved; the system control model based on the H∞ robust controller and the load weighting coefficient is constructed, and the solution is solved according to the load weighting coefficient The control expression for the H∞ robust controller. The invention can maintain better robust performance under different load conditions.

Description

technical field [0001] The invention belongs to the technical field of wireless power transmission, and more particularly, relates to an IPT system control design method and system considering load perturbation. Background technique [0002] Inductive Power Transfer (IPT) technology is more convenient, flexible and reliable due to its cable-free power supply method, making it more compatible with the power environment, and has been extended to many power transfer applications. fields, such as electric vehicles, medical equipment, and rail transit. A typical IPT system such as figure 1 As shown in the figure, the inverter converts the DC power supply into high-frequency AC power, transmits energy wirelessly based on the coupling mechanism of the primary and secondary coils, and then supplies the power to the load through rectification and filtering. In order to achieve efficient energy transfer, the primary and secondary side The coils are all connected to a resonance compe...

AI Technical Summary

Problems solved by technology

The u analysis controller can better take into account the robust stability and robustness of the system, but the controllers generated by it are all above 10th order, which is not conducive to the realization of practical applications; compared with u analysis, the H∞ theory based The robust controller has a simpler solution process and a lower controller order, and is more suitable for practical applications. However, since the H∞ controller is aimed at a fixed parameter system, when the load is perturbed, the controller's The control performance will change with the load value, and the robust performance under different load conditions cannot be guaranteed

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