Abstract—In this paper, one of the most important fuel cell membrane with proton exchange visitors (PEMFC) was introduced, implemented and its voltage is controlled during load variations in a study system. Control algorithm used in this paper for the fuel cell plant during the variation of time for the input current to the membrane (Ist) is one of the algorithms which is based on reinforcement learning retention (RL). To control the study plant, this algorithm to control the studied plant is trying to change the gain and pole and zero coefficients so as to prevent as far as possible the output voltage changes, the output voltage, and to keep constant Fuel Cell in a specific required amount. Simulation results verify good accuracy performance of the proposed controller to achieve the goals.
Index Terms—Lag-lead control, PEMFC, reinforcement learning, voltage control.
M. Karimi, M. Imanzadeh and P. Farhadi are with Young Researchers Club, Parsabad Moghan Branch, Islamic Azad University, Parsabad Moghan, Iran (emails: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org).
N. Ghadimi is with Electrical Engineering department, Ardabil Branch, Islamiz Azad Univeristy, Ardabil, Iran (e-mail: email@example.com).
Cite: M. Karimi, M. Imanzadeh, P. Farhadi, and N. Ghadimi, "Voltage Control of PEMFC Using A New Controller Based on Reinforcement Learning," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 752-756, 2012.