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Predictive nonlinear PID neural voltage-tracking controller design for fuel cell based on optimization algorithm
Joint Authors
Jaber, Isra A.
al-Araj, Ahmed S.
Dhahad, Haydar Abd
Source
Iraqi Journal of Computer, Communications and Control Engineering
Issue
Vol. 19, Issue 4 (31 Oct. 2019), pp.47-60, 14 p.
Publisher
Publication Date
2019-10-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This paper proposes a predictive nonlinear PID neural voltage-tracking controller design for Proton Exchange Membrane Fuel Cell (PEMFC) Model with an on-line auto-tuning intelligent algorithm.
The purpose of the proposed robust feedback nonlinear PID neural predictive voltage controller is to find the optimal value of the hydrogen partial pressure action in order to control the stack terminal voltage of the (PEMFC) model for one-step-ahead prediction.
The Chaotic Particle Swarm Optimization (CPSO) is utilized as a stable and intelligent robust on-line auto-tuning algorithm to obtain the near-optimal weights for the proposed controller so as to improve the performance index of the system as well as to minimize the energy consumption.
The Simulation results demonstrated the effectiveness of the proposed controller compared with the linear PID neural controller.
American Psychological Association (APA)
Jaber, Isra A.& al-Araj, Ahmed S.& Dhahad, Haydar Abd. 2019. Predictive nonlinear PID neural voltage-tracking controller design for fuel cell based on optimization algorithm. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 19, no. 4, pp.47-60.
https://search.emarefa.net/detail/BIM-973948
Modern Language Association (MLA)
Jaber, Isra A.…[et al.]. Predictive nonlinear PID neural voltage-tracking controller design for fuel cell based on optimization algorithm. Iraqi Journal of Computer, Communications and Control Engineering Vol. 19, no. 4 (Oct. 2019), pp.47-60.
https://search.emarefa.net/detail/BIM-973948
American Medical Association (AMA)
Jaber, Isra A.& al-Araj, Ahmed S.& Dhahad, Haydar Abd. Predictive nonlinear PID neural voltage-tracking controller design for fuel cell based on optimization algorithm. Iraqi Journal of Computer, Communications and Control Engineering. 2019. Vol. 19, no. 4, pp.47-60.
https://search.emarefa.net/detail/BIM-973948
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 59-60
Record ID
BIM-973948