No abstract

The Maximum Power Point Tracking (MPPT) strategy is commonly used to maximize the produced power from photovoltaic generators. In this paper, we proposed a control method with a fuzzy logic approach that offers significantly high performance to get a maximum power output tracking, which entails a maximum speed of power achievement, a good stability, and a high robustness. We use a fuzzy controller, which is based on a special choice of a combination of inputs and outputs. The choice of inputs and outputs, as well as fuzzy rules, was based on the principles of mathematical analysis of the derived functions (slope) for the purpose of finding the optimum. Also, we have proved that we can achieve the best results and answers from the system photovoltaic (PV) with the simplest fuzzy model possible by using only 3 sets of linguistic variables to decompose the membership functions of the inputs and outputs of the fuzzy controller. We compare this powerful controller with conventional perturb and observe (P&O) controllers. Then, we make use of a Matlab-Simulink® model to simulate the behavior of the PV generator and power converter, voltage, and current, using both the P&O and our fuzzy logic-based controller. Relative performances are analyzed and compared under different scenarios for fixed or varied climatic conditions.

A maximum power point tracking (MPPT) system, for a very high-efficiency photovoltaic array applied to a solar-powered vehicle, was studied in this work. Photovoltaic energy is a promising alternative energy; however, its high initial cost, it is essential to improve the energy conversion efficiency. Regarding a particular incident solar insolation and temperature, there is a specific voltage at which maximum power may be harvested (Maximum power point, MPP). The Maximum Power Point is therefore achieved at a specific voltage that depends on insolation and temperature. A proper maximum power point tracking system is particularly important for solar-powered vehicles relating to the rapid change of insolation due to the dynamic motion of the vehicle. In this paper, the emphasis is on the potential of energy conversion improvement of a PV system, associated with a moving vehicle via the use of a fuzzy based maximum power point tracking algorithm.