Rancang Bangun Passive Single Axis Solar Tracking Berbasis Grey Wolf Optimization FLC Tipe 2 Pada Pv Sebagai Sumber Energi Sistem Autofeeder Ikan

Nainggolan, Betria S (2025) Rancang Bangun Passive Single Axis Solar Tracking Berbasis Grey Wolf Optimization FLC Tipe 2 Pada Pv Sebagai Sumber Energi Sistem Autofeeder Ikan. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemanfaatan teknologi dalam budidaya perikanan kolam air tenang membutuhkan sumber energi yang efektif dan ramah lingkungan. Energi surya menjadi salah satu solusi efektif karena ketersediaan yang melimpah di Indonesia. Sistem PV (PV Fixed) memiliki keterbatasan dalam menangkap intensitas sinar matahari secara optimal, sehingga diperlukan teknologi yang dikenal sebagai solar Tracker. Discrete single axis solar trackermampu mengikuti posisi matahari secara bertahap terhadap sumbu yaw atau pitch pada waktu tertentu dengan konsumsi energi yang rendah. Penelitian ini bertujuan untuk merancang dengan 2 kontrol yaitu menggunakan FLC Tipe 2 dan FLC Tipe 2 yang dioptimisasi dengan GWO. Sistem kontrol menggunakan dua input yaitu Error dan Delta Error, dengan output berupa nilai PWM untuk menggerakan motor. Hasil pengujian menunjukan performa kontrol yang dioptimisasi dengan GWO memiliki nilai rise time 8 detik, settling time 11 detik, dan Error steady state 0.5% sedangakan kontrol yang tidak dioptimasi memiliki nilai rise time sebesar 12 detik, settling time sebesar 18 detik, dan Error steady state sebesar 3.93 %. Peningkatan performansi energi bersih pada solar trackerdengan metode kontrol GWO-FLC 2 terhadap PV Fixed adalah sebesar 36.2 % untuk sumbu yaw 7 posisi, 34.9% untuk sumbu yaw 5 posisi, 27.4% untuk sumbu pitch 7 posisi dan 23.3% untuk sumbu pitch 5 posisi. Metode FLC 2 adalah sebesar 35.8 % untuk sumbu yaw 7 posisi, 34.1% untuk sumbu yaw 5 posisi, 26% untuk sumbu pitch 7 posisi dan 21% untuk sumbu pitch 5 posisi
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In the utilization of technology for water pond aquaculture an effective and environmentally friendly energy source is such impotrant things. Solar power energy an effective solution due to its abundant availability in Indonesia. However, Fixed PV system have limitation in optimally capture solar irradiance, thus requiring a technology known as a solar Tracker. A Discrete single-axis solar Tracker is capable of gradually following the sun’s position along the yaw or pitch axis at specific intervals with low energy consumption.This study aims to design a control system using two approaches: Type-2 Fuzzy Logic Controller (FLC) and Type-2 FLC optimized with the Grey Wolf Optimizer (GWO). The control system utilizes two inputs Error and Delta Error with the output in the form of PWM values to drive the motor. Experimental results show that the controller optimized with GWO achieved a rise time of 8 seconds, a settling time of 11 seconds, and a steady-state Error of 0.5%, whereas the non-optimized controller had a rise time of 12 seconds, a settling time of 18 seconds, and a steady-state Error of 3.93%.The improvement in clean energy performance of the GWO-optimized Type-2 FLC solar Tracker compared to the Fixed PV system is 36.2% for the yaw axis with 7 positions, 34.9% for the yaw axis with 5 positions, 27.4% for the pitch axis with 7 positions, and 23.3% for the pitch axis with 5 positions. Meanwhile, using only the Type-2 FLC method yields improvements of 35.8% for the yaw axis with 7 positions, 34.1% for the yaw axis with 5 positions, 26% for the pitch axis with 7 positions, and 21% for the pitch axis with 5 positions.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Fuzzy Logic Controller Type 2, Grey Wolf Optimization, Discrete Single Axis Solar Tracker, Solar Tracker.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Betria S Nainggolan
Date Deposited:	01 Aug 2025 03:31
Last Modified:	01 Aug 2025 03:31
URI:	http://repository.its.ac.id/id/eprint/124157

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