Abstract� This paper presents the development of maxi mum power point tracking (MPPT) using a fuzzy logic con troller (FLC). By applying the synthetic fuzzy inference al go rithm, 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 imple mented on a low-cost 16F872 RlSC microcontroller. A practi cal system found in a transportation industry, particularly II solar-powered Jight-nasher (SPLF) with built in MPPT using FLC, is developed. Simulations with practical parameters show that our proposed MPPT using FLC implemented by LVT outperforms the conventional MPPT controller in terms of tracking speed. Furthermore, experimental results are shown to demonstrate the superiority of the proposed tech nique.

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This paper presents a novel fuzzy logic control technique tuned by particle swarm optimization (PSO-FLC) for maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed PV system composes of a current-mode boost converter (CMBC) with bifurcation control. An optimal slope compensation technique is used in the CMBC to keep the system adequately remote from the first bifurcation point in spite of nonlinear characteristics and instabilities of this converter. The proposed PSO technique allows easy and more accurate tuning of FLC compared with the trialand-error based tuning. Consequently, the proposed PSO-FLC method provides faster tracking of maximum power point (MPP) under varying light intensities and temperature conditions. The proposed MPPT technique is simple and particularly suitable for PV system equipped with CMBC. Experimental results are shown to confirm superiority of the proposed technique comparing with the conventional PVVC technique and the trial-and-error based tuning FLC.

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This paper presents the design of a controller for the maximum power point tracking of a grid-connected photovoltaic energy conversion system. A boost converter is used in the system to deliver the output from the solar array to DC-AC inverter, and feed the power into the AC grid. A selforganizing fuzzy logic controller is introduced for the tracking algorithm. The duty ratio for the operation of the boost converter is optimally adjusted in such a way that the maximum power point, which normally varies according to the environment, can be achieved. We demonstrate via the simulation results that our proposed technique outperforms over the conventional fuzzy logic controller in terms of tracking speed and transient response. Furthermore, the algorithm implementation can be done using a look-up table, hence a highperformance, cost-effective real-time maximum power point tracking can be simply realized.