Wahid, Rezza Maulana (2018) Implementasi Algoritma Kecerdasan Buatan Modifikasi pada Dual-Axis Solar Tracking System dengan Desain Vertical-Axis Array Berbasis STM32. Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pemanfaatan energi surya sebagai pembangkit tenaga listrik sudah berkembang pesat. Perkembangan tersebut meliputi efektivitas konversi sel, desain peletakan sel surya, hingga algoritma tracking yang digunakan. Dewasa ini perkembangan berpusat pada algoritma tracking dengan menggunakan kecerdasan buatan, meliputi Fuzzy, Neural Network, dan ANFIS. Pada Penelitian ini, sebuah dual-axis solar tracker yang khusus dirancang untuk desain vertical-axis array telah berhasil dirancang dengan menggunakan algoritma ANFIS yang dimodifikasi pada mikrokontroler STM32. Label modifikasi digunakan pada algoritma ini karena proses keseluruhannya tidak dijalankan secara otomatis layaknya algoritma kecerdasan buatan, namun masih terdapatnya proses secara manual dalam pengerjaan algoritmanya.
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Utilization of solar energy as a power plant is growing rapidly. The developments include the effectiveness of cell conversion, the design of the laying of solar cells, to the tracking algorithm is used. Nowadays, the development is centered on tracking algorithms using artificial intelligence, including Fuzzy, Neural Networks and ANFIS. In this study, a dual-axis solar tracker specifically designed for the vertical-axis array design has been successfully designed using the modified ANFIS algorithm on the STM32 microcontroller. Label modifications are used in this algorithm because the whole process does not run automatically like an artificial intelligence algorithm, but there is still a manual process in its algorithm work.
| Item Type: | Thesis (Diploma) |
|---|---|
| Additional Information: | RSIn 006.3 Wah i |
| Uncontrolled Keywords: | Solar Tracker, ANFIS, STM32 |
| Subjects: | Q Science > Q Science (General) > Q325.78 Back propagation Q Science > QA Mathematics > QA336 Artificial Intelligence Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science) Q Science > QA Mathematics > QA9.58 Algorithms Q Science > QA Mathematics > QA9.64 Fuzzy logic Q Science > QA Mathematics > QA248_Fuzzy Sets T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation |
| Divisions: | Faculty of Vocational > Instrumentation Engineering |
| Depositing User: | Rezza Maulana Wahid |
| Date Deposited: | 22 Dec 2020 03:15 |
| Last Modified: | 03 Jan 2021 09:04 |
| URI: | http://repository.its.ac.id/id/eprint/58953 |
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