Ihwani, Malak (2021) Rancang Bangun Mobile Active Two Axis Solar Tracker Menggunakan Fuzzy Ant Colony Controller. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sistem solar tracker merupakan perangkat yang mampu mengoptimalkan penerimaan energi sinar matahari dengan menggerakkan photovoltaic ke arah datang cahaya. Penelitian ini bertujuan untuk merancang bangun solar tracker menggunakan 4 buah sensor LDR. Keempat sensor LDR akan mendeteksi posisi matahari dari arah barat, timur, utara, dan selatan. Kontrol berbasis fuzzy ant colony controller diterapkan pada sistem two axis solar tracker agar pergerakannya lebih responsif terharap arah datang cahaya. Hasil dari penelitian menunjukkan indeks performansi error steady state, rise time, settling time, dan maximum overshoot terbaik pada uji set point menggunakan FACC yaitu pada jam 10.00 untuk sumbu pitch dengan 0.5%, 4.39 detik, 4 detik, dan 0%, dan pada jam 14.00 untuk sumbu yaw, dengan nilai 0.24%, 0.68 detik, 0.23 detik, dan 0%. Sistem FACC menghasilkan peningkatan performansi photovoltaic sebesar 49.2%, sedangkan dengan sistem FLC menghasilkan performansi photovoltaic sebesar 47.7% dibandingkan dengan photovoltaic dalam keadaan fixed.
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Solar tracker system is a device to optimize the reception of solar energy in photovoltaic using sensors to align in the direction of the sunlight. This research aims to design a solar tracker with 4 LDR sensors. The four LDR sensors will detect the sun from west, east, north, and south. Fuzzy ant colony controller based control is applied to improve its response to the direction of rays. The results show that the best performance index for steady state error, rise time, settling time, and maximum overshoot on the set point test using FACC are 0.5%, 4.39 seconds, 4 seconds, and 0% at 10.00 o’clock for the pitch axis, and at 14.00 for the yaw axis with 0.24%, 0.68 seconds, 0.23 seconds, and 0%. The FACC system increases photovoltaic performance to 49.2%, while the FLC system produces photovoltaic performance of 47.7% compared to photovoltaic in a fixed state.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Photovoltaic, Two Axis Solar Tracker, Fuzzy Ant Colony Controller. Photovoltaic, Two Axis Solar Tracker, Fuzzy Ant Colony Controller. |
Subjects: | Q Science > Q Science (General) > Q337.3 Swarm intelligence Q Science > QA Mathematics > QA9.64 Fuzzy logic 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: | Malak Ihwani |
Date Deposited: | 23 Aug 2021 09:49 |
Last Modified: | 23 Aug 2021 09:49 |
URI: | http://repository.its.ac.id/id/eprint/88910 |
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