Efficiency improvement of class e capacitive power transfer system using state feedback controller

Md Saat, Mohd Shakir and Ahmed Al-Hattami, Ahmed Mohammed Salem and Yusop, Yusmarnita and Husin, Siti Huzaimah and M.R., Awal and A.H.M., Shapri (2024) Efficiency improvement of class e capacitive power transfer system using state feedback controller. In: Proceedings of the 14th International Conference (CPEEE 2024), 24 February 2024 through 26 February 2024, Tokyo, Japan.

Text EFFICIENCY IMPROVEMENT OF CLASS E CAPACITIVE POWER TRANSFER SYSTEM USING STATE FEEDBACK CONTROLLER.pdf Download (723kB)

Abstract

This paper addresses the enhancement of efficiency in Class E Capacitive Power Transfer (CPT) systems by using a state feedback controller. Efficient operation is a critical concern in CPT systems due to their sensitivity to parameter variations, notably changes in coupling capacitance and load conditions. Variations in these parameters can substantially reduce the overall system efficiency. Therefore, this paper aims to develop a state feedback controller that can bolster system efficiency even in the presence of parameter variations. To be specific, this study begins by modelling the Class E CPT system using a combination of Generalized State-Space Averaging (GSSA) and Frequency-Domain Harmonic Analysis (FHA) techniques. Subsequently, a Lyapunov function is employed to devise the state feedback controller. The problem is then formulated using Linear Matrix Inequalities (LMIs) and tackled through the utilization of Yalmip. The efficacy of the proposed solution is validated through simulation work. The simulation results demonstrate that the proposed controller is capable of maintaining the CPT system’s output efficiency at a level exceeding 98%, even when subjected to a maximum of 30% variation in load conditions.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Capacitive Power Transfer (CPT), State feedback controller, LMI, Yalmip
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	NUR FARISAH JAFRIN
Date Deposited:	21 Jul 2026 07:25
Last Modified:	21 Jul 2026 07:25
URI:	http://eprints.utem.edu.my/id/eprint/29825
Statistic Details:	View Download Statistic

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