Control of autonomous airship

Authors:
Yiwei Liu;Zengxi Pan;David Stirling;Fazel Naghdy
Affiliations:
School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, NSW, Australia;Faculty of Engineering, University of Wollongong, NSW, Australia;School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, NSW, Australia;School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, NSW, Australia
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

Citing 2
Cited 2

Computer Vision-based Navigation for Autonomous Blimps

SIBGRAPHI '98 Proceedings of the International Symposium on Computer Graphics, Image Processing, and Vision
Human-Robot Lunar Exploration: Pressurized vs. Unpressurized Rovers

ICSENG '08 Proceedings of the 2008 19th International Conference on Systems Engineering

A Harmonic Potential Approach for Simultaneous Planning and Control of a Generic UAV Platform

Journal of Intelligent and Robotic Systems
Autonomous Path Tracking of a Kinematic Airship in Presence of Unknown Gust

Journal of Intelligent and Robotic Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Scientific research and development on the control of autonomous airship have shown a significant growth in recent years. New applications appear in the areas such as freight carrier, advertising, monitoring, surveillance, transportation, military and scientific research. The control of Autonomous airship is a very important problem for the aerial robots research. In this paper, the previous research on the control of autonomous blimp is reviewed, Several popular control methods are categorized and discussed in detail. Then an intelligent navigation control method, reinforcement learning control, is introduced in the autonomous blimp which was used for 2007 UAV Outback Challenge. The future work on intelligent airship control is also outlined.