Nabila, Sizkia Naufani (2022) Rancang Bangun Active Dual Axis Solar Tracker Menggunakan Algoritma Firefly Optimization - Fuzzy Logic Controller Pada PV Sebagai Sumber Energi Lampu Penerangan Jalan Umum. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Solar tracker merupakan suatu alat yang dapat mengikuti arah pergerakan matahari yang terdiri dari sistem mekanik dan sistem elektrik dan berfungsi untuk menjaga agar panel surya selalu tegak lurus dengan arah sinar matahari. Penelitian ini bertujuan untuk menentukan parameter perancangan dan parameter sistem metode kontrol algoritma firefly optimization - fuzzy logic controller pada sistem solar tracker dual axis. Terdapat mikrokontroller Arduino Mega2560, empat sensor LDR, sensor tegangan, sensor arus, dua motor driver, dan dua motor DC untuk menggerakkan panel pada sumbu pitch dan yaw. Hasil pengujian setpoint menggunakan algoritma firefly optimization – fuzzy logic controller menunjukkan indeks performansi terbaik pada pukul 12.00 untuk sumbu pitch dan sumbu yaw dengan error steady state, maximum overshoot, rise time, dan settling time berturut- turut, pada sumbu pitch yaitu 0.47%, 0%, 6.75 detik, 7.90 detik dan pada sumbu yaw yaitu 0.48%, 0%, 3.04 detik, 3.84 detik. Peningkatan performansi pada sistem dual axis solar tracker menggunakan fuzzy logic controller sebesar 48.44%. Sedangkan peningkatan performansi pada sistem dual axis solar tracker menggunakan algoritma firefly optimization - fuzzy logic controller sebesar 51.21%.
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Solar tracker is a device that follow movement direction of sun which consists mechanical and electrical system to keep solar panels always perpendicular to direction of sun's rays. This study aims to determine design and system parameters of firefly optimization - fuzzy logic controller control method on dual axis solar tracker system. There are Arduino Mega2560, four LDR sensors, voltage sensor, current sensor, two motor drivers, and two DC motors to drive panel on pitch and yaw axes. The results by using firefly optimization - fuzzy logic controller showed the best performance index at 12.00 for the pitch and yaw axis with steady state errors, maximum overshoot, rise time, and settling time respectively, on pitch axis, 0.47%, 0 %, 6.75 seconds, 7.90 seconds, on yaw axis, 0.48%, 0%, 3.04 seconds, 3.84 seconds. Performance improvement using fuzzy logic controller is 48.44%, and firefly optimization - fuzzy logic controller is 51.21%.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSF 621.312 44 Nab r-1 2022 |
| Uncontrolled Keywords: | Solar Tracker, Fuzzy Logic Controller, Firefly Optimization |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ810.5 Solar energy |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | - Davi Wah |
| Date Deposited: | 02 Feb 2024 03:47 |
| Last Modified: | 02 Feb 2024 03:47 |
| URI: | http://repository.its.ac.id/id/eprint/105268 |
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