Fuzzy Control Based on IQPSO in Proton-Exchange Membrane Fuel-Cell Temperature System

Abstract

The proton-exchange membrane fuel cell (PEMFC) is the most promising fuel cell technology because of the high power density and fast start-up. However, PEMFCs have not yet been commercialized on a large scale due to many technical problems. One of the key challenges for optimum fuel cell performance is maintaining the PEMFC at a proper temperature. This paper proposes a temperature fuzzy control strategy to adjust the stack temperature. A mathematical model of the cooling circuit was established to facilitate the control design. Then a kind of improved quantum particle swarm optimization (IQPSO) was introduced to optimize fuzzy control rules. The established model and fuzzy controllers were simulated and analyzed. The results of proportional integral derivative (PID) control, fuzzy-PID control (FPID), and fuzzy-PID control method with IQPSO algorithm (IQPSO-FPID) were compared. Simulation results showed that the IQPSO-FPID can meet many control objectives and improve control performance.