Yuwaldi Away, Aulia Rahman, Teuku Reza Auliandra, Muhamad Firdaus
The amount of solar energy could be acquired optimally by proper tracking of sun movement in a sun tracker. A sun tracker is a device which tracks the sun as it moves on its path through the sky during the day, exposing the solar cells to an increased amount of sunlight and hence producing more electricity. In this paper, we compare the performance and optimization of two types of sun tracker based on tetrahedron geometry using PID and Fuzzy logic algorithm. These two sun trackers are built identically and experimental data acquisition of servo movement and load of solar cell performed side by side. PID and fuzzy logic algorithm are used to control the servo movement of the dual-axis sun tracker. We record the load received by solar cell which attached to both sun tracker and compare the result. The study shows that fuzzy logic algorithm controller performs better than PID controller which can be seen from the amount of load received by solar cell. © 2018 IEEE.
Department of Electrical and Computer Engineering, Syiah Kuala University, Banda Aceh, Indonesia
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock