Abstract

This paper investigates the design of a robust H ∞ output feedback controller for a capacitive power transfer (CPT) system. Firstly, a first harmonic model of the CPT system is derived based on first harmonic approximation (FHA). Secondly, by linearizing the first harmonic model at its operation point, a linearized state space model is obtained. Thirdly, variations of coupling capacitances and load in the CPT system are described as polytopic uncertainties in the linearized state space model. Then, we propose a novel robust H ∞ output feedback controller design technique for the linearized state space model with polytopic uncertainties. Finally, both simulation and experiment are carried out to verify the effectiveness of the proposed controller design.

Highlights

  • CAPACITIVE power transfer (CPT) technology has enjoyed increasing popularity in wireless power transfer (WPT) [1]

  • Compared to inductive power transfer (IPT) systems, CPT systems are of low cost and weight and have better misalignment performance [2].They barely suffer from eddy current losses in high frequency magnetic fields when there is metallic material nearby [3]

  • Based on the LMI approach, sufficient conditions for the existence of a robust H∞ controller for a CPT system are given in terms of the solvability of linear matrix inequalities (LMIs)

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Summary

INTRODUCTION

CAPACITIVE power transfer (CPT) technology has enjoyed increasing popularity in wireless power transfer (WPT) [1]. Based on the LMI approach, sufficient conditions for the existence of a robust H∞ controller for a CPT system are given in terms of the solvability of linear matrix inequalities (LMIs) This novel robust H∞ feedback controller regulates the output voltage of a rotary CPT system with a prescribed H∞ performance. Robust H∞ feedback controllers have been designed and implemented for a rotary CPT system with variations of coupling capacitance and load. H∞ is an optimal controller design without assuming the noise to be Gaussian noise

SIMULATION AND EXPERIMENTAL RESULTS
Findings
CONCLUSION

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