Comparative analysis of hybrid intelligent controller based MPPT of fuel cell power system

In last decade, the growth of fuel cell power system based research has been reached enormous. A fuel cell's output power depends nonlinearly on the applied current or voltage, and there exists a unique maximum power point (MPP). Thus, a maximum power point tracking (MPPT) controller is needed to continuously deliver the highest possible power to the load when variations in operation conditions occur. The conventional controllers like P&O and incremental Controllers does not deliver fast response in dynamic operation of fuel cell. This paper concentrates to analysis and improves the efficiency of PEM fuel cell using various intelligent controllers' techniques based MPPT. The various intelligent controllers are having been designed in Matlab environment and applied PEM fuel Cell power system. The Simulation results are evaluated and compared with each other. Finally, the optimum intelligent controller has been chosen based on their performance in improvement of fuel cell efficiency under nonlinear operating conditions.