A neural networks based predictive voltage-tracking controller design for proton exchange membrane fuel cell model
Other Title(s)
الشبكات العصبية أساس تصميم مسيطر تتابع الجهد التنبؤي لنموذج خلية الوقود غشاء تبادل البروتون
Joint Authors
Jabr, Isra Abbas
al-Araji, Ahmad Sabah Abd al-Amir
Dahad, Haydar Abd
Source
Issue
Vol. 25, Issue 12 (31 Dec. 2019), pp.26-48, 23 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2019-12-31
Country of Publication
Iraq
No. of Pages
23
Main Subjects
Topics
Abstract EN
In this work, a new development of predictive voltage-tracking control algorithm for Proton Exchange Membrane Fuel Cell (PEMFCs) model, using a neural network technique based on-line auto-tuning intelligent algorithm was proposed.
The aim of proposed robust feedback nonlinear neural predictive voltage controller is to find precisely and quickly the optimal hydrogen partial pressure action to control the stack terminal voltage of the (PEMFC) model for N-step ahead prediction.
The Chaotic Particle Swarm Optimization (CPSO) implemented as a stable and robust on-line auto-tune algorithm to find the optimal weights for the proposed predictive neural network controller to improve system performance in terms of fast-tracking desired voltage and less energy consumption through investigating and comparing under random current variations with the minimum number of fitness evaluation less than 20 iterations.
American Psychological Association (APA)
al-Araji, Ahmad Sabah Abd al-Amir& Dahad, Haydar Abd& Jabr, Isra Abbas. 2019. A neural networks based predictive voltage-tracking controller design for proton exchange membrane fuel cell model. Journal of Engineering،Vol. 25, no. 12, pp.26-48.
https://search.emarefa.net/detail/BIM-910661
Modern Language Association (MLA)
al-Araji, Ahmad Sabah Abd al-Amir…[et al.]. A neural networks based predictive voltage-tracking controller design for proton exchange membrane fuel cell model. Journal of Engineering Vol. 25, no. 12 (Dec. 2019), pp.26-48.
https://search.emarefa.net/detail/BIM-910661
American Medical Association (AMA)
al-Araji, Ahmad Sabah Abd al-Amir& Dahad, Haydar Abd& Jabr, Isra Abbas. A neural networks based predictive voltage-tracking controller design for proton exchange membrane fuel cell model. Journal of Engineering. 2019. Vol. 25, no. 12, pp.26-48.
https://search.emarefa.net/detail/BIM-910661
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 46-48
Record ID
BIM-910661