Rancang Bangun Low-Budget Autonomous Quadcopter
Quadcopter is an unstable flying vehicle. The flight controller regulates the rotational speed of the four motors, so that each propeller produces the lift required for the quadcopter to fly stable. It is interesting to know whether the use of generic quadcopter components obtained in the market can...
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| Format: | Article |
| Language: | English |
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Department of Mechanical Engineering, Faculty of Engineering, Universitas Andalas
2021-10-01
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| Series: | Metal: Jurnal Sistem Mekanik dan Termal |
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| Online Access: | https://metal.ft.unand.ac.id/index.php/metal/article/view/138 |
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| author | Budi Hartono |
| author_facet | Budi Hartono |
| author_sort | Budi Hartono |
| collection | DOAJ |
| description | Quadcopter is an unstable flying vehicle. The flight controller regulates the rotational speed of the four motors, so that each propeller produces the lift required for the quadcopter to fly stable. It is interesting to know whether the use of generic quadcopter components obtained in the market can be mutually compatible. A stable and controllable quadcopter is a requirement for a quadcopter to fly autonomously. This research focusses on design a low-budget autonomous quadcopter. The research method consists of three main stages. First, the design and build phase of the quadcopter. The main frame and quadcopter arms are designed with a diagonal distance between the rotors of 45 cm. The basic components of the quadcopter are selected which are mutually compatible and assembled on the frame and arms. The flight controller is connected to the GPS, transmitter, and receiver. The autonomous system also involves a ground control system in the form of a Mission Planner. Second, the flight test stage is setting the PID constant so that the quadcopter can fly stable. PID tuning produces proportional constants of 0.088, integrals of 0.016, and derivatives of 0.008. Third, the autonomous flight test stage. The success of autonomous flying is known by analyzing the difference in input waypoint coordinates through the Mission Planner against the results of low-budget GPS receiver readings on autonomous flying missions. GPS accuracy was analyzed by calculating the 2DRMS and CEP values. The best value of 2DRMS = 1.56 meters and CEP = 0.64 meter occurred at Waypoint #2. |
| format | Article |
| id | doaj-art-0652bbc308414af2bc7e14d4e73428f9 |
| institution | Kabale University |
| issn | 2598-1137 2597-4483 |
| language | English |
| publishDate | 2021-10-01 |
| publisher | Department of Mechanical Engineering, Faculty of Engineering, Universitas Andalas |
| record_format | Article |
| series | Metal: Jurnal Sistem Mekanik dan Termal |
| spelling | doaj-art-0652bbc308414af2bc7e14d4e73428f92025-02-01T10:20:39ZengDepartment of Mechanical Engineering, Faculty of Engineering, Universitas AndalasMetal: Jurnal Sistem Mekanik dan Termal2598-11372597-44832021-10-0152606610.25077/metal.5.2.60-66.202194Rancang Bangun Low-Budget Autonomous QuadcopterBudi Hartono0Politeknik Negeri BandungQuadcopter is an unstable flying vehicle. The flight controller regulates the rotational speed of the four motors, so that each propeller produces the lift required for the quadcopter to fly stable. It is interesting to know whether the use of generic quadcopter components obtained in the market can be mutually compatible. A stable and controllable quadcopter is a requirement for a quadcopter to fly autonomously. This research focusses on design a low-budget autonomous quadcopter. The research method consists of three main stages. First, the design and build phase of the quadcopter. The main frame and quadcopter arms are designed with a diagonal distance between the rotors of 45 cm. The basic components of the quadcopter are selected which are mutually compatible and assembled on the frame and arms. The flight controller is connected to the GPS, transmitter, and receiver. The autonomous system also involves a ground control system in the form of a Mission Planner. Second, the flight test stage is setting the PID constant so that the quadcopter can fly stable. PID tuning produces proportional constants of 0.088, integrals of 0.016, and derivatives of 0.008. Third, the autonomous flight test stage. The success of autonomous flying is known by analyzing the difference in input waypoint coordinates through the Mission Planner against the results of low-budget GPS receiver readings on autonomous flying missions. GPS accuracy was analyzed by calculating the 2DRMS and CEP values. The best value of 2DRMS = 1.56 meters and CEP = 0.64 meter occurred at Waypoint #2.https://metal.ft.unand.ac.id/index.php/metal/article/view/138autonomous quadcopterlow-budgetakurasi gps |
| spellingShingle | Budi Hartono Rancang Bangun Low-Budget Autonomous Quadcopter Metal: Jurnal Sistem Mekanik dan Termal autonomous quadcopter low-budget akurasi gps |
| title | Rancang Bangun Low-Budget Autonomous Quadcopter |
| title_full | Rancang Bangun Low-Budget Autonomous Quadcopter |
| title_fullStr | Rancang Bangun Low-Budget Autonomous Quadcopter |
| title_full_unstemmed | Rancang Bangun Low-Budget Autonomous Quadcopter |
| title_short | Rancang Bangun Low-Budget Autonomous Quadcopter |
| title_sort | rancang bangun low budget autonomous quadcopter |
| topic | autonomous quadcopter low-budget akurasi gps |
| url | https://metal.ft.unand.ac.id/index.php/metal/article/view/138 |
| work_keys_str_mv | AT budihartono rancangbangunlowbudgetautonomousquadcopter |