Intelligent Control System Design of a Unmanned Quadrotor Robot

This paper presents the position and attitude control of an unmanned aerial vehicle known as a quadrotor. A design methodology is introduced that a fuzzy logic controller in an intelligent way. It offers several advantages over certain types of conventional control methods, specifically in dealing w...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 548-549; no. Achievements in Engineering Sciences; pp. 917 - 921
Main Authors Cho, Uk Rae, Lee, Deok Jin, Baek, Seung Jun, Jeon, Young Pil, Chong, Kil To, Park, Joung Ho
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.04.2014
Subjects
Acceleration
Computer simulation
Control systems
Control systems design
Dynamical systems
Nonlinear dynamics
Robots
Unmanned aerial vehicles
Fuzzy Logic Control
UAV
Attitude Control
Unmanned Quadrotor Robot
Position Control
Online AccessGet full text

Cover

More Information
Summary:This paper presents the position and attitude control of an unmanned aerial vehicle known as a quadrotor. A design methodology is introduced that a fuzzy logic controller in an intelligent way. It offers several advantages over certain types of conventional control methods, specifically in dealing with highly nonlinear systems and modeling uncertainties. The proposed controller was located at a position feedback loop which composed of x,y and z. Plus, it also designed at the angle acceleration loop. Simulation results prove the efficiency of this intelligent control strategy.
Bibliography:Selected, peer reviewed papers from the 2014 3rd International Conference on Manufacturing Engineering and Process (ICMEP 2014), April 10-11, 2014, Seoul, Korea
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISBN:3038350842
9783038350842
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.548-549.917