Untitled Document
 
Untitled Document
 
You may need to enable or update / install Adobe Flash Player Plug-in to display JPE e-Book in your device properly. If you use Google Chrome, please find information here
> Archives > Current Issues
JPE, Vol. 18, No. 5, September 2018
Improved Particle Swarm Optimization Algorithm for Adaptive Frequency-Tracking Control in Wireless Power Transfer Systems
Yang Li, Liu Liu, Cheng Zhang, Qingxin Yang, Jianxiong Li, Xian Zhang, and Ming Xue
Area Analysis, Modeling and Control
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.
Keyword Adaptive frequency tracking,Improved particle swarm optimization algorithm,Over coupling,Wireless power transfer
PDF
Untitled Document