Modeling Of Control System for Hydrogen and Oxygen Gas Flow into PEMFC Based on Load Demand by Using Fuzzy Controller

Abstract

This paper presents a control system to regulate the flow rate of hydrogen and oxygen gas for 500 watt PEMFC. Flow rates into the fuel cell are regulated according to load demand for fuel efficiency. Increase and decrease the rate of hydrogen flow according to the load demand, so this research proposes a feedback control system to supply load demand by regulating the fuel flow rate andfuel cell mathematical model.The proposed control algorithm for regulating the flow of hydrogen using the Mamdani Fuzzy method. The performance of the control system and the fuel cell model were tested with various loads. The simulation results show the fuzzy method has been able to regulate fuel cell output more effectively

Performance improvement in polymer electrolytic membrane fuel cell based on nonlinear control strategies—A comprehensive study

“…Self-adaptive fuzzy PID has been designed using a fourth order plant in [35] which satisfies the specifications of the dynamic response, but the drawback is the difficulty in optimizing membership functions. Mamdani fuzzy method has been used as a model-free control technique to ensure reduced hydrogen consumption and improved efficiency [36]. Fuzzy predictive control using a sixth order controlled auto-regressive integrated moving average model is presented in [37] to overcome uncertainties in the system.…”