Three academic staff members from the University of Technology-Iraq, Prof. Dr. Ahmed S. Abdul-Amir from the Computer Engineering Department, Asst. Prof. Dr. Haider Abd Dhahed from the Mechanical Engineering Department, and Asst. Lect. Israa Abbas Jabr from the of Control and Systems Engineering Department published the research paper “A Neural Networks based Predictive Voltage-Tracking Controller Design for Proton Exchange Membrane Fuel Cell Model” in the Journal of Engineering.

This work proposed a new development of predictive voltage-tracking control algorithm for the proton exchange membrane fuel cell model (PEMFCs) using neural network technique based on-line auto-tuning intelligent algorithm. The aim of proposed robust feedback nonlinear neural predictive voltage controller is to find precisely and quickly the optimal hydrogen partial pressure action in order to control the stack terminal voltage of the (PEMFC) model for N-step ahead prediction.