Today, the renewable energy is used to long-term growth and to reduce the green house gas emission. Floating Sun oriented boards are a type of renewable energy that converts sun light into electricity and give a solution for the problem of power generation and land scarcity. Single axis solar tracking (SAST) needs to optimize the solar panel power throughout the day. The tracking device is accurately track the sun using one freedom of rotational axis. Light Dependent Resistor (LDR) is commonly applied in sun tracking system. The two LDRs can be used in sun tracking depend on the intensity of light. The floating sun based control system produces more power due to solar tracking with cooling impact of water than fixed land sun oriented system. It can be introduced in any water bodies which is able be diminish the cost of land. The model of single axis solar tracking is modeled. The fuzzy PID controller has been designed and simulated using MATLAB/SIMULINK. Its performance has been compared with Ziegler Nichols PID controller tuned method. Amid the era of vitality, the rising of the temperature on the boards has been noteworthy issue on the surface of solar PV framework. Since, it has been specifically impacts on the vitality era; the higher working temperatures of sun oriented PV framework diminish its vitality capacity. As the temperature increase the voltage output decreases. The overall efficiency and performance decrease due to the excessive heat is occur on the solar panels and solar tracking system changes, the inclination angle variation is occurred. The daylight point â€œÎ¸" increment, the control of the sun based board is diminishing. Fuzzy logic controller which are vibration balance and the actuator (DC servo motor) able to controls the development of sun powered panels. Thus, The simulation result is observed that the Ziegler-Nichols closed loop PID controller tuning simulation results that the overshoot is 46.8%, rising time is 0.842seconds, choosing time is 2.13seconds and the settling time is 11.2seconds with the proposed fuzzy-PID controller while overshoot is 3.646%, rising time is 0.0527seconds; pick time is 0.112second and the sampling time is taken as 0.4seconds. The fuzzy PID simulation result indicated that has better performance than Ziegler Nichols PID controller tuned method.