Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93413
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Yang, Y | en_US |
dc.creator | Tan, SC | en_US |
dc.creator | Hui, SYR | en_US |
dc.date.accessioned | 2022-06-21T08:23:34Z | - |
dc.date.available | 2022-06-21T08:23:34Z | - |
dc.identifier.issn | 1551-3203 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93413 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Y. Yang, S. Tan and S. Y. R. Hui, "Front-End Parameter Monitoring Method Based on Two-Layer Adaptive Differential Evolution for SS-Compensated Wireless Power Transfer Systems," in IEEE Transactions on Industrial Informatics, vol. 15, no. 11, pp. 6101-6113, Nov. 2019 is available at https://doi.org/10.1109/TII.2019.2924926 | en_US |
dc.subject | Adaptive differential evolution (ADE) | en_US |
dc.subject | Genetic algorithm (GA) | en_US |
dc.subject | Parameter monitoring | en_US |
dc.subject | Series-series (SS)-compensated wireless power transfer (WPT) system | en_US |
dc.subject | Two-layer ADE | en_US |
dc.title | Front-end parameter monitoring method based on two-layer adaptive differential evolution for SS-compensated wireless power transfer systems | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 6101 | en_US |
dc.identifier.epage | 6113 | en_US |
dc.identifier.volume | 15 | en_US |
dc.identifier.issue | 11 | en_US |
dc.identifier.doi | 10.1109/TII.2019.2924926 | en_US |
dcterms.abstract | In this paper, a two-layer adaptive differential evolution (ADE) algorithm is adopted to monitor the parameters of the receiving resonators and the mutual inductances of series-series (SS)-compensated wireless power transfer (WPT) systems. By only measuring the primary coils' voltages and currents, the proposed monitoring method can be applied for multiple-coil SS-compensated WPT systems without any feedback signals from the receivers. Compared to the conventional monitoring method based on the genetic algorithm (GA), which may find local optimal solutions by the manually tuned parameters of the mutation rate, the crossover rate, and the generations, the proposed method based on the two-layer ADE can always find global optimal solutions by the automatically tuned parameters of the differential weight, the crossover rate, and the generations. Experimental results validate that the ADE and the proposed two-layer ADE can monitor the parameters of both two-and three-coil SS-compensated WPT systems more steadily and accurately than the conventional GA. Additionally, the proposed two-layer ADE is verified to monitor the parameters of three-coil SS-compensated WPT systems with three different arrangements more accurately than the ADE. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on industrial informatics, Nov. 2019, v. 15, no. 11, 8746197, p. 6101-6113 | en_US |
dcterms.isPartOf | IEEE transactions on industrial informatics | en_US |
dcterms.issued | 2019-11 | - |
dc.identifier.scopus | 2-s2.0-85077204646 | - |
dc.identifier.eissn | 1941-0050 | en_US |
dc.identifier.artn | 8746197 | en_US |
dc.description.validate | 202206 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0169 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 43296921 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Yang_Front-End_Parameter_Monitoring.pdf | Pre-Published version | 3.56 MB | Adobe PDF | View/Open |
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