Perancangan Sistem Penjejak Matahari pada Panel Surya Berbasis Image Sensor Menggunakan Metode Kontrol Particle Swarm Optimized Fuzzy Logic Controller (PSO-FLC)

Aufa, Muhammad Jaza'al (2019) Perancangan Sistem Penjejak Matahari pada Panel Surya Berbasis Image Sensor Menggunakan Metode Kontrol Particle Swarm Optimized Fuzzy Logic Controller (PSO-FLC). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Panel surya memiliki efisiensi yang terbilang kecil yaitu sekitar 14-20% sehingga perlu adanya sistem yang mampu meningkatkan efisiensi dari panel surya salah satunya dengan penerapan sistem penjejak matahari. Oleh karena itu pada tugas akhir ini dilakukan implementasi sistem penjejak matahari berbasis image sensor menggunakan metode kontrol Particle Swarm Optimized Fuzzy Logic Controller (PSO-FLC). Pengambilan citra menggunakan kamera VGA. Parameter perancangan sistem penjejak matahari pada panel surya berbasis image sensor yang digunakan adalah koordinat (x,y) titik tengah matahari yang tertangkap oleh kamera terhadap titik tengah kamera. Nilai x dan y masing-masing merepresentasikan nilai error sudut pitch dan sudut yaw terhadap sudut altitude dan sudut azimuth matahari. Performansi pada sistem ini dibandingkan dengan sensor LDR dengan kontroler yang sama, juga dibandingkan dengan fixed base. Dari eksperimen, didapat peningkatan penyerapan energi surya sistem penjejak matahari berbasis image sensor sebesar 45.57%, sedangkan sistem penjejak matahari dengan sensor LDR dengan sistem kontrol yang sama mengalami peningkatan performansi PV sebesar 29.42%.
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Photovoltaic (PV) has a relatively small efficiency of around 14-20% so there is a need for a system that can improve the efficiency of photovoltaic, one of which is the application of a solar tracking system. Therefore in this final project the implementation of a sensor image based solar tracking system using the Particle Swarm Optimized Fuzzy Logic Controler (PSOFLC) control method. VGA camera is used to do image acquisition. The design parameters of the solar tracking system on an image sensor-based solar panel are the coordinate (x, y) of the sun's midpoint that is captured by the camera against the camera's midpoint. The values of x and y each represent an error angle and yaw angle to the altitude and azimuth angle of the sun. Performance on this system is compared to LDR sensors with the same controller, also compared to fixed systems. The design of image sensor-based solar tracking systems has increased PV performance by 45.57%, while the solar tracking system with LDR sensors with the same control system has increased PV performance by 29.42%.

Item Type:	Thesis (Other)
Additional Information:	RSF 621.312 44 Auf p-1 2019
Uncontrolled Keywords:	Panel surya, FLC, PSO, Image Processing.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar power plants. Ocean thermal power plants
Divisions:	Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Aufa Muhammad Jaza'al
Date Deposited:	21 Jul 2026 07:00
Last Modified:	21 Jul 2026 07:00
URI:	http://repository.its.ac.id/id/eprint/69359

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