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