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This paper presents the development of maximum power point tracking (MPPT) using a fuzzy logic controller (FLC). By applying the synthetic fuzzy inference algorithm, the relationship between input and output of FLC can be effectively stored in a memory-limited lookup table (LUT). As a consequence, the controller can be efficiently implemented on a low-cost 16F872 RISC microcontroller. The proposed controller is integrated with a boost converter for realization of a high performance solar-powered battery charger (SPBC). Simulations with practical parameters show that our proposed MPPT using FLC implemented by LUT outperforms the conventional MPPT controller in terms of tracking speed. Moreover, preliminary experimental results are presented.