TY - GEN
T1 - Design of two axis solar tracker based on optoelectrical tracking using hybrid fuga controller
AU - Abadi, Imam
AU - Setyawan, Erma Hakim
AU - Pramesrani, D. R.
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd 2021.
PY - 2021
Y1 - 2021
N2 - One of solutions to optimize the output power of solar panel is to add solar tracker system in solar panel. Solar tracker is a system that can move a solar panel to follow the direction of the sun to always perpendicular to the sun. The solar tracker system consists of sensors, controller, DC motors and solar panel. Two-axis active solar tracker system uses LDR sensors to capture the light intensity received by solar panel, it uses 4 sensors representing the North, South, East and West direction. Solar panel moves at two directions: yaw and pitch. This research uses fuzzy controller which is optimized by genetic algorithm. The test results show that the hybrid fuzzy genetic algorithm control system can be applied to active two-axis solar tracker system with the best performance index using 3 membership functions. Pitch angle at 70° has performance index rise time (tr) 0.23 s, settling time (ts) 1.05 s, maximum overshoot (Mov) 0%, error steady state (ess) 0.02%, and yaw angle at 80° has performance index tr = 5.37 s, ts = 22.16 s, Mov = 0% and ess = 0.1%. Increased energy efficiency generated by mobile active solar tracker is 62.15%.
AB - One of solutions to optimize the output power of solar panel is to add solar tracker system in solar panel. Solar tracker is a system that can move a solar panel to follow the direction of the sun to always perpendicular to the sun. The solar tracker system consists of sensors, controller, DC motors and solar panel. Two-axis active solar tracker system uses LDR sensors to capture the light intensity received by solar panel, it uses 4 sensors representing the North, South, East and West direction. Solar panel moves at two directions: yaw and pitch. This research uses fuzzy controller which is optimized by genetic algorithm. The test results show that the hybrid fuzzy genetic algorithm control system can be applied to active two-axis solar tracker system with the best performance index using 3 membership functions. Pitch angle at 70° has performance index rise time (tr) 0.23 s, settling time (ts) 1.05 s, maximum overshoot (Mov) 0%, error steady state (ess) 0.02%, and yaw angle at 80° has performance index tr = 5.37 s, ts = 22.16 s, Mov = 0% and ess = 0.1%. Increased energy efficiency generated by mobile active solar tracker is 62.15%.
KW - Active solar tracker
KW - Fuzzy logic controller
KW - Genetic algorithm
KW - Solar tracker
UR - http://www.scopus.com/inward/record.url?scp=85088540000&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-5281-6_88
DO - 10.1007/978-981-15-5281-6_88
M3 - Conference contribution
AN - SCOPUS:85088540000
SN - 9789811552809
T3 - Lecture Notes in Electrical Engineering
SP - 1243
EP - 1263
BT - Proceedings of the 11th National Technical Seminar on Unmanned System Technology, NUSYS 2019
A2 - Md Zain, Zainah
A2 - Ahmad, Hamzah
A2 - Pebrianti, Dwi
A2 - Mustafa, Mahfuzah
A2 - Abdullah, Nor Rul Hasma
A2 - Samad, Rosdiyana
A2 - Mat Noh, Maziyah
PB - Springer
T2 - 11th National Technical Symposium on Unmanned System Technology, NUSYS 2019
Y2 - 2 December 2019 through 3 December 2019
ER -