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PERANCANGAN DAN IMPLEMENTASI OBSTACLES COLLISION AVOIDANCE PADA DRONE QUADCOPTER MENGGUNAKAN FUZZY LOGIC CONTROL

Turoha, Dede Hizaz (2018) PERANCANGAN DAN IMPLEMENTASI OBSTACLES COLLISION AVOIDANCE PADA DRONE QUADCOPTER MENGGUNAKAN FUZZY LOGIC CONTROL. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Unmanned Aerial Vehicle (UAV) is a pilot controlled flying robot using Remote Control or Remotely Piloted Vehicle (RPV) or autonomously. Unmanned Aerial Vehicle (UAV) platform is a drone. Drones are flying robots with has three or four or more propellers. Application of drones has been employed extensively for military and civilian applications such as aerial surveillance, remote sensing, aerial inspections as well as search and rescue operations. The principle of flying quadcopter has the ability to Vertical Take Off and Landing (VTOL). Obstacles Collision Avoidance is a system to avoid collisions in vehicles, especially in the automotive and aircraft. Many types such as Pre-crash System, Forward Collision Warning System, and Collision Mitigating System. Which uses several types of sensors including camera sensors, ultrasonic sensors, laser sensors and more. The purpose this system to minimize crashes. From the design and implementation. Using Fuzzy logic control and ultrasonic sensor design placement. Obstacles collision avoidance System become stable in detection. Because the sensor performance is not affected by vibration of quadcopter itself. This detection system detects from farthest distance of 300 cm to 50 cm. by hover and landing when detecting the object. By pairing two sensors in each front and rear positions, two sensors help each other expected more stable detection distance.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201310130311150
Keywords: UAV, Quadcopter, Obstacles Avoidance, Ultrasonic Sensor, Fuzzy Logic, Waypoint
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: CKO Repository
Date Deposited: 01 Nov 2018 02:18
Last Modified: 01 Nov 2018 02:18
URI : http://eprints.umm.ac.id/id/eprint/39037

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