Improved Particle Swarm Optimization Algorithm for Adaptive Frequency-Tracking Control in Wireless Power Transfer Systems


Vol. 18, No. 5, pp. 1470-1478, Sep. 2018
10.6113/JPE.2018.18.5.1470


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 Abstract

Recently, wireless power transfer (WPT) via coupled magnetic resonances has attracted a lot of attention owing to its long operation distance and high efficiency. However, the WPT systems is over-coupling and a frequency splitting phenomenon occurs when resonators are placed closely, which leads to a decrease in the transfer power. To solve this problem, an adaptive frequency tracking control (AFTC) was used based on a closed-loop control scheme. An improved particle swarm optimization (PSO) algorithm was proposed with the AFTC to track the maximum power point in real time. In addition, simulations were carried out. Finally, a WPT system with the AFTC was demonstrated to experimentally validate the improved PSO algorithm and its tracking performance in terms of optimal frequency.


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Cite this article

[IEEE Style]

Y. Li, L. Liu, C. Zhang, Q. Yang, J. Li, X. Zhang and M. Xue, "Improved Particle Swarm Optimization Algorithm for Adaptive Frequency-Tracking Control in Wireless Power Transfer Systems," Journal of Power Electronics, vol. 18, no. 5, pp. 1470-1478, 2018. DOI: 10.6113/JPE.2018.18.5.1470.

[ACM Style]

Yang Li, Liu Liu, Cheng Zhang, Qingxin Yang, Jianxiong Li, Xian Zhang, and Ming Xue. 2018. Improved Particle Swarm Optimization Algorithm for Adaptive Frequency-Tracking Control in Wireless Power Transfer Systems. Journal of Power Electronics, 18, 5, (2018), 1470-1478. DOI: 10.6113/JPE.2018.18.5.1470.