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