Abstract: The photovoltaic cells have been operated to produce the energy power supply depended on the environment weather factors (radiation, temperature). The environment state conditions should be identified to regulator the organization of the highest power point onthe photovoltaic cells. This research has been studied, designed and tested for searching the highest point of generated power by solar cells through speed control direct current separately excited motor. A mamdani type of fuzzy logic control has been studied and designed. A Genetic algorithm has been studied and programed to overcome of the computation time which used to obtain the gains of fuzzy logic controller. The hybrid controller (fuzzy logic based on the Genetic algorithm) had been operated to tracking the highest point of the PVcells generated power and improving the performance of the motor speed response. The comparative study between open loop system and closed loop system results with variables environment state and load torque disturbance.
Nashwan S. Sultan, Bashar A. Hamad and Ahmed G. Abdullah, 2018. Study of Photovoltaic Maximum Power Point Tracking Fed DC Motor Improvement Performance. Journal of Engineering and Applied Sciences, 13: 6238-6245. Asian Journal of Information Technology, 18: 250-260.