Hybrid Fuzzy Controller Design on Oxygen Excess Ratio Control of PEMFC Air Feed System by using PSO Algorithm

The fluctuation of oxygen excess ratio (OER) of the proton exchange membrane fuel cell (PEMFC) system in air feed subsystem affects the cell safety and performance directly. In this paper, we concern about the OER control of PEMFC air feed system and propose a hybrid fuzzy controller optimized by using particle swarm optimization (PSO) algorithm, which can track the optimal OER quickly. In the design of the hybrid fuzzy controller, both the feedback and feedforward controller are used. In the feedback control loop, the switching device selects the optimal controller between the fuzzy logic controller (FLC) and fuzzy self-tuning PID (FSTPID) controller in real time upon the OER tracking error, while in the feedforward control loop, the fuzzy feedforward controller (FFC) is used to reduce the current disturbance. The quantification and scale factors in fuzzy controllers are efficiently optimized by using PSO algorithm. Simulation results show the quick tracking performance of OER and the good dynamic performance of air feed systems in PEMFC.