Rancang Bangun Active Dual Axis Solar tracker Dengan Metode Kontrol Fuzzy Ant colony Optimization Pada Lampu Penerangan Jalan Umum

Hilmi, M. (2021) Rancang Bangun Active Dual Axis Solar tracker Dengan Metode Kontrol Fuzzy Ant colony Optimization Pada Lampu Penerangan Jalan Umum. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Telah dilakukan mengenai perancangan active solar tracker menggunakan metode kontrol fuzzy ant colony optimization pada lampu penerangan jalam umum. Dimana tujuan pada penelitian ini adalah untuk mengetahui parameter perancangan active dual axis solar tracker, mengetahui performansi kontrol fuzzy-ant colony pada solar tracker dan mengetahui peningkatan performansi panel surya saat menggunakan active solar tracker dibandingkan dengan fixed panel. Penelitian ini dilakukan dengan membuat hardware solar tracker dan diintegrasikan dengan mikrokontroller arduino uno. Terdapat beberapa sensor yang digunakan yaitu sensor LDR untuk mendeteksi arah matahari, sensor arus ACS712, dan sensor tegangan. Pengujian performansi kontrol fuzzy-ant colony dilakukan pada masing-masing sumbu yaitu sumbu pitch dan sumbu yaw. Performansi sistem control pada sumbu yaw terbaik didapatkan pada pengukuran pukul 12.00 menggunakan kontrol FLC-ACO dengan kriteria Ess=0.4%., Max Ovshoot =0, Rise Time=3.78 s dan settling time = 7.55 s. Untuk performansi control pada sumbu pitch terbaik didapatkan pada pengukuran pukul 12.00 siang dengan kontrol FLC-ACO yaitu dengan Ess= 0.9%, max overshoot=0%, rise time = 8.01 detik dan settling time = 10.95 detik. Penggunaan kontrol FLC-ACO cenderung memperkecil nilai error steady state. Daya maksimum didapatkan saat penggunaan sistem solar tracker dengan FLC-ACO dengan daya keluaran sebesar 96.32 Watt .Untuk hasil pengujian peningkatan performansi pada panel surya didapatkan bahwa sistem solar tracker dengan kontrol FLC dapat meningkatkan performansi panel surya sebesar 48,23% dibandingkan dengan fixed panel, untuk penggunaan sistem kontrol FLC-ACO dapat meningkatkan performansi panel surya sebesar 97.47%.
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The design of an active solar tracker has been done using fuzzy ant colony optimization control method for public street lighting. Aims of this study is to determine the design parameters of the active dual axis solar tracker, to know the performance of fuzzy-ant colony control on the solar tracker and to know the performance’s increase of solar panels when using an active solar tracker compared to fixed panel. This research was conducted by making solar tracker hardware and integrated with Arduino Uno microcontroller. There are several sensors used, namely the LDR sensor to detect the direction of the sun, the ACS712 current sensor, and the voltage sensor. Testing the performance of fuzzy-ant colony control was carried out on each axis, pitch axis and yaw axis. The best performance of the control system on the yaw axis was obtained at 12.00 using the FLC-ACO control with the criteria Ess = 0.4%., Max Ovshoot = 0, Rise Time = 3.78 s and settling time = 7.55 s. The best control performance on the pitch axis is obtained at 12.00 noon with FLC-ACO control, namely Ess = 0.9%, max overshoot = 0%, rise time = 8.01 seconds and settling time = 10.95 seconds. The use of FLC-ACO control tends to reduce the steady state error value. Maximum power is obtained when using a solar tracker system with FLC-ACO with an output power of 96.32 Watt . The results of the performance improvement test on solar panels, it was found that the solar tracker system with FLC control can increase the performance of solar panels by 48.23% compared to fixed panels, for the use of the FLC-ACO control system it can increase the performance of solar panels by 49.47%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Panel surya, Solar tracker, kontrol Logika Fuzzy, ant colony optimization , photovoltaic, solar tracker, fuzzy logic controller, ant colony optimization
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ810.5 Solar energy T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	M. Hilmi
Date Deposited:	23 Aug 2021 09:20
Last Modified:	23 Aug 2021 09:20
URI:	http://repository.its.ac.id/id/eprint/88834

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