NDLI: Study on multiple resonant points control strategy of contactless power transfer system using neural network

Content Provider	IEEE Xplore Digital Library
Author	Yue Sun Yan Ling Li Xin Dai Yu Gang Su Chun Sen Tang
Copyright Year	2010
Description	Author affiliation: College of Automation, Chongqing University, China (Yue Sun; Yan Ling Li; Xin Dai; Yu Gang Su; Chun Sen Tang)
Abstract	This paper presents a power control strategy based on multi-resonant operating points, which is realized by multilayer feedforward neural network applying back-propagation algorithm. The full-bridge contactless power transfer system and magnetizing current of the transmitter on primary side are respectively used as research object and control variable. After batch-learning and training, the converged network determines alternating operating duty cycle of each resonant operating point in one cycle. By controlling magnetizing current, it can fulfill the dynamic regulation of transmission power, and increase the energy transfer efficiency. Simulation results show that in the control strategy, magnetizing current on the primary side can be stabilized at any set value for given range, and system has some disturbance restraint performance, satisfied with contactless power transfer system control demands.
Starting Page	4686
Ending Page	4690
File Size	601192
Page Count	5
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554952
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks MATLAB Magnetic resonance Magnetic multilayers Automation Feedforward neural networks Nonhomogeneous media neural network contactless power transfer multi-resonant operating points back-propagation algorithm multilayer feedforward
Content Type	Text
Resource Type	Article

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