Compound Learning Control for Autonomous Position and Obstacle Control of Aerial Hovering Vehicles

Syafiq Fauzi, Kamarulzaman and Yasunobu, Seiji (2015) Compound Learning Control for Autonomous Position and Obstacle Control of Aerial Hovering Vehicles. In: The 10th Asian Control Conference (ASCC 2015) , 31 May - 3 Jun 2015 , Kota Kinabalu, Sabah. pp. 1-6..

	PDF Compound Learning Control for Autonomous Position and Obstacle Control of Aerial Hovering Vehicles.pdf - Published Version Restricted to Repository staff only Download (818kB) | Request a copy
Preview	PDF Compound Learning Control for Autonomous Position and Obstacle Control of Aerial Hovering Vehicles.pdf - Published Version Download (37kB) | Preview

Abstract

Aerial hovering vehicles represent application of non-linear devices in real environment. Controls of such devices are dif¿cult due to instability in certain states of operation. Operating such device requires skills, and such knowledge of skills are even hard to develop as autonomous control system. In this research, a Compound Learning Control System for autonomous position control of aerial hovering vehicles among obstacle is designed. Compound function was applied together with two Learning Control functions concerning position transition and obstacles avoidance in the designed system. The system is expected to provide reliable and safe autonomous position transition through obstacle for an aerial hovering vehicle with non-linearity and was applied in simulation of an aerial hovering vehicle. Simulation results show that the system was able to provide autonomous position transition through obstacles successfully

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 978-1-4799-7862-5 Publisher : IEEE
Uncontrolled Keywords:	autonomous aerial vehicles; collision avoidance; learning systems
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	28 Oct 2015 07:59
Last Modified:	29 Mar 2018 07:12
URI:	http://umpir.ump.edu.my/id/eprint/10939
Download Statistic:	View Download Statistics

Actions (login required)

View Item