Lubis, Ricky Dwitama (2023) Permodelan Lengan Robot (Armduino) Menggunakan Metode Fuzzy Logic Control. Undergraduate thesis, Politeknik Negeri Bengkalis.
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Abstract
Traditional control methods often face problems in handling the movement speed of the robot arm. Fuzzy Logic With its ability to control speed with high precision, it allows robots to carry out tasks that require accurate and measured movements. Carefully regulated ground speed using Fuzzy Logic can help reduce shock and vibration during crawling movements, improving the stability and overall performance of the robot. Data collection is based on the results that will be issued by the MATLAB 2020 software. The parameters included in the MATLAB 2020 program are the crawl movement of the robot arm and the current voltage of the servo motor. The X coordinate point shows the angle value of the crawl with a value between 0° – 180°, the Y coordinate point shows the voltage value of the servo motor with a value between 0V – 5V, and the Z coordinate point shows the value of the crawl movement speed with a value of 1s – 6s. The best results from modeling the robot arm to determine the speed of crawl movement with the help of Logic Fuzzy Control, namely with a high tension with full opening movement capable of producing fast crawl movement. Meanwhile, the worst result results in slow movement.
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Uncontrolled Keywords: | Fuzzy Logic Control,Robot Arm,Crawl,Matlab | ||||||||
| Subjects: | 410 ILMU TEKNIK > 430 ILMU KETEKNIKAN INDUSTRI > 431 Teknik Mesin (dan Ilmu Permesinan Lain) | ||||||||
| Divisions: | Jurusan Teknik Mesin > Sarjana Terapan Teknik Mesin Produksi dan Perawatan > TUGAS AKHIR | ||||||||
| Depositing User: | TMPP TMPP | ||||||||
| Date Deposited: | 12 Jan 2024 15:46 | ||||||||
| Last Modified: | 12 Jan 2024 15:46 | ||||||||
| URI: | http://eprints.polbeng.ac.id/id/eprint/11708 |
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