Desain dan Implementasi Sistem Navigasi Automated Guided Vehicle (AGV) Menggunakan Sensor Garis Magnetik

Priananda, Wahyu Sholeh (2024) Desain dan Implementasi Sistem Navigasi Automated Guided Vehicle (AGV) Menggunakan Sensor Garis Magnetik. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dalam era persaingan global, efisiensi dan otomatisasi menjadi kebutuhan esensial bagi industri modern untuk bertahan dan berkembang. Salah satu solusi yang menjanjikan dalam meningkatkan efisiensi transportasi material di fasilitas produksi adalah penggunaan Automated Guided Vehicle (AGV). Penelitian ini bertujuan untuk mendesain dan mengimplementasikan sistem navigasi AGV dengan menggunakan sensor garis magnetik. Metode yang digunakan meliputi pemanfaatan sensor garis magnetik sebagai elemen utama dalam menangkap informasi jalur, serta penanda magnetik sebagai referensi aksi AGV seperti belok, berhenti, melakukan pengisian daya, dan pengambilan troli. Algoritma left follow rule dan right follow rule diterapkan untuk melewati persimpangan jalur. Hasil pengujian menunjukkan bahwa desain sistem navigasi AGV telah berhasil dengan baik, dengan deviasi maksimal hanya ±10 mm pada lintasan lurus, yang menunjukkan stabilitas dan performa AGV yang handal. Pemanfaatan penanda magnetik terbukti efektif dan hemat biaya, serta penerapan metode left follow rule dan right follow rule menunjukkan akurasi tinggi dalam membantu AGV melewati lintasan kompleks. Dalam 20 kali percobaan misi pengantaran, AGV menunjukkan tingkat keberhasilan 90%, dengan 18 kali percobaan berhasil sepenuhnya dan 2 kali mengalami kegagalan. Analisis hasil menunjukkan bahwa meskipun sistem ini cukup andal, masih diperlukan perbaikan pada sistem sensor dan pengaturan lingkungan pabrik untuk meningkatkan keandalan sistem secara keseluruhan. Hasil pengimplementasian AGV ini menawarkan potensi yang kuat untuk diterapkan secara luas dalam industri yang kompleks dan memberikan solusi optimal untuk kebutuhan transportasi material
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In the era of global competition, efficiency and automation have become essential requirements for modern industry to survive and develop. One promising solution for increasing the efficiency of material transportation in production facilities is the use of Automated Guided Vehicles (AGV). This research aims to design and implement an AGV navigation system using a magnetic line sensor. The method used includes the use of magnetic stripe sensors as the main element in capturing path information, as well as magnetic markers as a reference for AGV actions such as turning, stopping, charging and picking up a trolley. The left follow rule and right follow rule algorithms are applied to pass through path intersections. The test results show that the AGV navigation system design has been successful, with a maximum deviation of only ±10 mm on a straight path, which shows the stability and reliable performance of the AGV. The use of magnetic markers has proven to be effective and cost-effective, and the application of the left follow rule and right follow rule methods shows high accuracy in helping AGVs traverse complex trajectories. In 20 attempted delivery missions, the AGV demonstrated a success rate of 90%, with 18 attempts completely successful and 2 failures. Analysis of the results shows that although this system is quite reliable, improvements are still needed in the sensor system and factory environment settings to increase overall system reliability. The results of implementing this AGV offer strong potential for widespread application in complex industries and provide optimal solutions for material transportation needs

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Automated Guided Vehicle (AGV), Sistem Navigasi, Sensor Garis Magnetik, Automated Guided Vehicle (AGV), Navigation System, Magnetic Line Sensor.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ211 Robotics.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Wahyu Sholeh Priananda
Date Deposited:	30 Jul 2024 07:42
Last Modified:	30 Jul 2024 07:42
URI:	http://repository.its.ac.id/id/eprint/109771

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