Novel Control Approach for Resonant Class-DE Inverters Applied in Wireless Power Transfer Systems

Juan Pablo Ochoa Avilés, Fernando Lessa Tofoli and Enio Roberto Ribeiro ()
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Juan Pablo Ochoa Avilés: Institute of System Engineering and Information Technology, Federal University of Itajubá, Itajubá 37500-903, Brazil
Fernando Lessa Tofoli: Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei 36307-352, Brazil
Enio Roberto Ribeiro: Institute of System Engineering and Information Technology, Federal University of Itajubá, Itajubá 37500-903, Brazil

Energies, 2023, vol. 16, issue 21, 1-18

Abstract: Regulating the load voltage is of major importance for ensuring high transmission efficiency in wireless power transfer (WPT) systems. In this context, this work presents a novel control strategy applied in the dc-ac converter used in the primary side of a WPT system. The performance of a class-DE resonant inverter is investigated considering that such topology presents inherent soft-switching characteristics, thus implying reduced switching losses. The controller relies on an autoregressive with exogenous output (ARX) model based on an adaptive linear neuron (ADALINE) network, which allows for determining the turn-on time of the active switches accurately while providing the system with the ability to adapt to distinct alignment conditions. The performance of the proposed controller is compared with that of a linear controller, which does not prove to be an effective solution if misalignment occurs.

Keywords: electric vehicles; magnetic coupling; neural networks; resonant inverters; wireless power transfer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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