Modeling and control of fuel cell using artificial neural networks
Other Title(s)
النمذجة و السيطرة لخلية وقود باستخدام الشبكات العصبية الاصطناعية
Joint Authors
Shit, Iman Ali Ihsan
Abd al-Amir, Haydar Sabah
Dahad, Haydar Abd
Source
Issue
Vol. 21, Issue 12 (31 Dec. 2015), pp.124-138, 15 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2015-12-31
Country of Publication
Iraq
No. of Pages
15
Main Subjects
Topics
Abstract EN
This paper includes an experimental study of hydrogen mass flow rate and inlet hydrogen pressure effect on the fuel cell performance.
Depending on the experimental results, a model of fuel cell based on artificial neural networks is proposed.
A back propagation learning rule with the log-sigmoid activation function is adopted to construct neural networks model.
Experimental data resulting from 36 fuel cell tests are used as a learning data.
The hydrogen mass flow rate, applied load and inlet hydrogen pressure are inputs to fuel cell model, while the current and voltage are outputs.
Proposed model could successfully predict the fuel cell performance in good agreement with actual data.
This work is extended to developed fuel cell feedback control system using PID controller to stabilize the fuel cell voltage.
Particle swarm optimization technique is used to tune the PID controller gains.
The voltage error and hydrogen flow rate are input and the actuator of the PID controller respectively.
Simulation results showed that using PID controller with proposed model of fuel cell can successfully improve system performance in tracking output voltage under different operating conditions.
American Psychological Association (APA)
Abd al-Amir, Haydar Sabah& Dahad, Haydar Abd& Shit, Iman Ali Ihsan. 2015. Modeling and control of fuel cell using artificial neural networks. Journal of Engineering،Vol. 21, no. 12, pp.124-138.
https://search.emarefa.net/detail/BIM-652828
Modern Language Association (MLA)
Abd al-Amir, Haydar Sabah…[et al.]. Modeling and control of fuel cell using artificial neural networks. Journal of Engineering Vol. 21, no. 12 (Dec. 2015), pp.124-138.
https://search.emarefa.net/detail/BIM-652828
American Medical Association (AMA)
Abd al-Amir, Haydar Sabah& Dahad, Haydar Abd& Shit, Iman Ali Ihsan. Modeling and control of fuel cell using artificial neural networks. Journal of Engineering. 2015. Vol. 21, no. 12, pp.124-138.
https://search.emarefa.net/detail/BIM-652828
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 134-138
Record ID
BIM-652828