Waypoint Navigation of AR.Drone Quadrotor Using Fuzzy Logic Controller

Indrawati, Veronica and Prayitno, Agung and Kusuma Ardi, Thomas (2015) Waypoint Navigation of AR.Drone Quadrotor Using Fuzzy Logic Controller. Telkomnika (Telecommunication Computing Electronics and Control), 13 (3). pp. 381-391. ISSN 1693-6930; e-ISSN: 2302-9293

[thumbnail of Veronica Indrawati_Waypoint Navigation.pdf] PDF
Veronica Indrawati_Waypoint Navigation.pdf

Download (2MB)
Official URL / DOI: http://journal.uad.ac.id/index.php/TELKOMNIKA/arti...

Abstract

In this paper, AR.Drone is flown autonomously from the initial position (x,y,z) to the desired position called waypoint (xdes,ydes,zdes) using Fuzzy Logic Controller (FLC). The FLC consists of three control loops which are pitch control loop, roll control loop and vertical rate control loop. Pitch control loop is used to control the x-position of the AR.Drone; the inputs are the desired x-position and current value of x-position, while its output is the pitch. Roll control loop is used to control the y-position of the AR.Drone; the inputs are the desired y-position and current value of y-position, while its output is the roll. Vertical rate control loop is used to control the z-position of the AR.Drone; the inputs are the desired z-position and current value of z-position and its output is the vertical rate. The algorithm is realized in three flight schemes and the navigation data is recorded. The first flight scheme: a desired x-position, xdes, of AR.Drone will be reached first followed by a desired y-position, ydes, and lastly a desired z-position, zdes. The second flight scheme: a desired x-position and y-position, (xdes,ydes), will be reached simultaneously followed by a desired z-position, zdes. The third flight scheme: AR.Drone flies towards to desired position (xdes,ydes,zdes) simultaneously. The results show that the AR.Drone can reach the waypoint with the three schemes well. However, the flight scheme straight towards the waypoint with the FLC working simultaneously is the most satisfying one.

Item Type: Article
Uncontrolled Keywords: waypoint navigation, AR.Drone control, fuzzy logic controller
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Agung Prayitno 204037
Date Deposited: 18 Feb 2016 02:36
Last Modified: 22 Mar 2022 09:02
URI: http://repository.ubaya.ac.id/id/eprint/26729

Actions (login required)

View Item View Item