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Output details

12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Cranfield University

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Article title

Energy conservation based fuzzy tracking for unmanned aerial vehicle missions under a priori known wind information

Type
D - Journal article
Title of journal
Engineering Applications of Artificial Intelligence
Article number
-
Volume number
24
Issue number
2
First page of article
278
ISSN of journal
0952-1976
Year of publication
2011
URL
-
Number of additional authors
4
Additional information

This Paper was the research outcome of a collaboration with the University of Valenciennes in France, supported via an ERASMUS grant.

The Graph Theory based energy management output of this work has been adopted to solve the optimum path for a robotic manipulator in a collaboration with Allen Vanguard Ltd. Contact Martin Lawrance (Technical Director Allen Vanguard Ltd), Martin Lawrance Martin.Lawrance@allenvanguard.com. Impact: "The current research is expected to contribute significantly to providing improved means of generating precise path control algorithms for remote manipulators, particularly suited to implementation on mobile robotic systems with limited on board processing capabilities" - Martin.Lawrance@allenvanguard.com

Interdisciplinary
-
Cross-referral requested
-
Research group
A - Aerospace Engineering
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-