Experimental implementation of fuzzy logic control to track the maximum efficiency point of an open cathode fuel cell system

The typical performance of the fuel cell based systems varies greatly with its operating conditions, thereby necessitating the inevitable inclusion of maximum efficiency point tracking controllers. In context, the aim of this research work is to design and investigate the performance of the Fuzzy Logic Controller to track the maximum efficiency point region. This technique is implemented on a real-time small-scale fuel cell emulator based test bench. The experimental results demonstrate the validity of the Fuzzy Logic Controller algorithm in rapid tracking of the maximum efficiency point. However, parameterization of membership functions requires a thorough knowledge of the system. Furthermore, the response remains oscillating around maximum efficiency point, which can degrade the fuel cell. The outcomes of this study testify the applicability of Fuzzy Logic Controller based maximum efficiency point tracking controller on a real fuel cell system.