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Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2015 Vol.5(5): 342-345 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2015.V5.555

Neural Network Frequency Selector for Maximum Power Transfer

Karim Gamal El-Sayed, Ranim Al Ahdab, and Ahmed El-Shenawy
Abstract— This paper propose a method for reaching a maximum power transfer using wireless system. The power is transmitted using the method of impedance matching technique. It depends on choosing the parameters of the transmitter receiver circuit and proper distance and gap media , which allow the transfer of maximum power , we propose a neural network configuration to deliverer the required frequencies to achieve maximum power transfer from the given circuit parameters . The choice depends on thirteen parameters which are divided to fixed parameters like inductance, capacitance and variable parameters like distance and misalignment. The system is tested on the hardware set up and showed acceptable performance illustrated by presented experiments.

Index Terms— Energy transfer, maximum power transfer, neural network, wireless power transfer, Witricity.

Karim Gamal El-Sayed is with Arab Academy for Science and Technology 1029, Abu Quir Campus, Alexandria, Egypt (e-mail: kgamal@ezzsteel.com.eg).
Ranim El Ahdab is with Near East University at Nicosia Cyprus, Egypt.
Ahmed Khamis El-Shenawy is with Electrical and Control Department at Arab Academy for Science and Technology 1029, Abu Quir Campus, Alexandria, Egypt (e-mail: ahmed.elshenawy@aast.edu).

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Cite: Karim Gamal El-Sayed, Ranim Al Ahdab, and Ahmed El-Shenawy, " Neural Network Frequency Selector for Maximum Power Transfer," International Journal of Information and Electronics Engineering vol. 5, no. 5, pp. 342-345, 2015.

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