Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization

Abstract

One of the new renewable energy types is solar energy. Solar energy can be converted into electrical energy through photovoltaic. In order for the intensity of sunlight is received by the photovoltaic more leverage, so that made the solar tracker system with two axes. Solar tracking system control the pitch and yaw angle that can drive a DC motor. Optimize error and delta error on sun tracking system based on fuzzy logic. The boundaries of fuzzy are optimized using the Bacterial Foraging Optimization (BFO) method. Mobile PV using fuzzy control and BFO has better performance than Fuzzy Logic Controller with an efficiency increase by 0.4%.