DocumentCode :
1142045
Title :
AI techniques in uninhabited aerial vehicle flight
Author :
Dufrene, Warren R., Jr.
Author_Institution :
Sch. of Comput. & Inf. Services, Nova Southeastern Univ., Fort Lauderdale, FL, USA
Volume :
19
Issue :
8
fYear :
2004
Firstpage :
8
Lastpage :
12
Abstract :
This describes the development of an application of artificial intelligence (AI) for unmanned aerial vehicle (UAV) control. The project was part of the requirements for a class in AI at NOVA Southeastern University and a beginning project at NASA Wallops Flight Facility for a resilient, robust, and intelligent UAV flight control system. A method is outlined which allows a base level application for applying an artificial intelligence method, fuzzy logic, to aspects of control logic for UAV flight. One element of UAV flight, automated altitude hold, has been implemented and preliminary results displayed.
Keywords :
aerospace expert systems; aircraft control; artificial intelligence; fuzzy logic; remotely operated vehicles; AI techniques; NASA Wallops Flight Facility; NOVA Southeastern University; UAV; artificial intelligence; automated altitude hold; base level application; control logic; flight control system; fuzzy logic; uninhabited aerial vehicle flight; unmanned aerial vehicle control; Aerospace control; Aircraft; Artificial intelligence; Automatic control; Control systems; Expert systems; Fuzzy logic; Humans; NASA; Unmanned aerial vehicles;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
Publisher :
ieee
ISSN :
0885-8985
Type :
jour
DOI :
10.1109/MAES.2004.1346887
Filename :
1346887
Link To Document :
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