Dynamic analysis model of a class E2 converter for low power wireless charging links

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dc.contributor.authorFoudeh, Husam A.
dc.contributor.authorLuk, Patrick Chi-Kwong
dc.contributor.authorWhidborne, James F.
dc.date.accessioned2021-10-18T10:26:37Z
dc.date.available2021-10-18T10:26:37Z
dc.date.issued2021-09-03
dc.description.abstractDetection and prevention of faults in overhead electric lines is critical for the reliability and availability of electricity supply. The disadvantages of conventional methods range from cumbersome installations to costly maintenance and from lack of adaptability to hazards for human operators. Thus, transmission inspections based on unmanned aerial vehicles (UAV) have been attracting the attention of researchers since their inception. This article provides a comprehensive review for the development of UAV technologies in the overhead electric power lines patrol process for monitoring and identifying faults, explores its advantages, and realizes the potential of the aforementioned method and how it can be exploited to avoid obstacles, especially when compared with the state-of-the-art mechanical methods. The review focuses on the development of advanced Learning Control strategies for higher manoeuvrability of the quadrotor. It also explores suitable recharging strategies and motor control for improved mission autonomy.en_UK
dc.identifier.citationBati A, Luk PCK, Aldhaher S, et al., (2019) Dynamic analysis model of a class E2 converter for low power wireless charging links. IET Circuits, Devices and Systems, Volume 13, Issue 3, pp. 399-405en_UK
dc.identifier.issn1751-858X
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2021.3110159
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/17178
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectUAVsen_UK
dc.subjectquadrotoren_UK
dc.subjectiterative learning control (ILC)en_UK
dc.subjectpower-line detectionen_UK
dc.subjectinsulatoren_UK
dc.subjecthigh voltageen_UK
dc.subjecttracking controlen_UK
dc.subjectclimbing robotsen_UK
dc.subjectautonomous rechargingen_UK
dc.subjectwireless power transferen_UK
dc.titleDynamic analysis model of a class E2 converter for low power wireless charging linksen_UK
dc.typeArticleen_UK

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