DocumentCode :
3647190
Title :
Ultracapacitor modeling and control with discrete fractional order artificial neural network
Author :
Grzegorz Sarwas;Dominik Sierociuk;Andrzej Dzieliński
Author_Institution :
Institute of Control and Industrial Electronics, Warsaw University of Technology, Koszykowa 75, 00-662, Poland
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
617
Lastpage :
622
Abstract :
In this article a new approach of using the discrete time fractional order artificial neural network controller for control of charging and discharging process for system with ultracapacitor is proposed. First, the discrete fractional order neural network for incommensurate non-linear system modeling is presented. After successful modeling of the system with ultracapacitor the neural network inverse controller, based on the presented configuration of fractional order neural network, is given. All the computer simulations are tested and compared with the results achieved on the physical device. Advantages of the proposed solution are described and discussed.
Keywords :
"Supercapacitors","Training","Control systems","Biological neural networks","Testing","Mathematical model"
Publisher :
ieee
Conference_Titel :
Carpathian Control Conference (ICCC), 2012 13th International
Print_ISBN :
978-1-4577-1867-0
Type :
conf
DOI :
10.1109/CarpathianCC.2012.6228720
Filename :
6228720
Link To Document :
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