TY - JOUR
T1 - Front-End Parameter Monitoring Method Based on Two-Layer Adaptive Differential Evolution for SS-Compensated Wireless Power Transfer Systems
AU - Yang, Yun
AU - Tan, Siew Chong
AU - Hui, Shu Yuen Ron
N1 - Funding Information:
Manuscript received May 7, 2019; accepted June 20, 2019. Date of publication June 26, 2019; date of current version November 5, 2019. This work was supported by the Hong Kong Research Grant Council under Theme-Based Research Project T23-701/14-N. Paper no. TII-19-1778 (Corresponding author: Yun Yang.) Y. Yang and S.-C. Tan are with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong (e-mail:, [email protected]; [email protected]).
Publisher Copyright:
© 2005-2012 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
KW - Adaptive differential evolution (ADE)
KW - genetic algorithm (GA)
KW - parameter monitoring
KW - series-series (SS)-compensated wireless power transfer (WPT) system
KW - two-layer ADE
UR - http://www.scopus.com/inward/record.url?scp=85077204646&partnerID=8YFLogxK
U2 - 10.1109/TII.2019.2924926
DO - 10.1109/TII.2019.2924926
M3 - Journal article
AN - SCOPUS:85077204646
SN - 1551-3203
VL - 15
SP - 6101
EP - 6113
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 11
M1 - 8746197
ER -