A Neural Networks based Predictive Voltage-Tracking Controller Design for Proton Exchange Membrane Fuel Cell Model

  • Ahmed Sabah Al-Araji Dean of Computer Engineering - University of Technology http://orcid.org/0000-0003-2568-9812
  • Hayder A. Dhahad Mechanical Engineering - University of Technology
  • Essra A. Jaber Control and Systems Engineering Department - University of Technology
Keywords: Neural Networks, Predictive Controller, Fuel Cell, Particle Swarm Optimization

Abstract

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.

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Author Biography

Ahmed Sabah Al-Araji, Dean of Computer Engineering - University of Technology

I have finished my B.Sc. degree in Control and Systems Eng. from the University of Technology in 1997 and M.Sc. degree in Mechatronics Engineering for the University of Technology in 2001. I have finished my PhD degree in Electronics and computer Engineering in the School of Engineering and Design, Brunel University, London, UK in 2012. Currently I am Professor of Control and Systems Engineering and Dean of Computer Engineering, University of Technology, Baghdad - Iraq. My current project is Cognitive Methodologies.

Published
2019-11-21
How to Cite
Al-Araji, A., Dhahad, H. and Jaber, E. (2019) “A Neural Networks based Predictive Voltage-Tracking Controller Design for Proton Exchange Membrane Fuel Cell Model”, Journal of Engineering, 25(12), pp. 26-48. doi: 10.31026/j.eng.2019.12.03.