Advance Design of Solar Dual Axis Tracking System using fuzzy Logic Controller

Solar energy is a clean and naturally available source of energy. Recently Scientifics works to improve the materials and methods that used to harness this power source. There are two major approaches; maximum power point tracking and sun tracking. These two methods required efficient controllers. The controller may be conventional or intelligent such as Fuzzy Logic Controller (FLC).The main problem that face producing the maximum amount of electricity by sun tracking system is weather change .The objective of  this research, is to design sun tracker system using Fuzzy Logic Controller (FLC) , this system follows the movement of the sun and able to solve the problem of climate effects by using the sun– earth geometrical angles among  the alternation of night and day to obtain the greatest amount of solar energy. A tracking mechanism composed of photovoltaic module, stepper motor, sun-earth geometrical relationships input/output interface and expert FLC controller that to track the sun and keep the solar cells always face the sun in most of the day time. The proposed sun tracking controller is tested by chosen Wad medani city (14.40o) latitude). The system was tested in Matlab/Simulink environment. The results give that in 21th march when the values of altitude angle hour angle and declination angle were (14.40 ο), (-90ο) and (-0.40ο) respectively the result zenith angle was (90ο). In the day of 21th December march when the values of altitude angle hour angle and declination angle were (14.40 ο), (-90ο) and (-23.4ο) respectively the result of zenith angle was (90ο). The results show that the controller has a good response and receive more power than traditional system. This study recommends to design combination of the sun Tracker with two axes follow the movement of the sun using conventional sensors and sun-earth geometrical relationships via Fuzzy Logic Controller (FLC).