Application of cognitive controls for unmanned aircraft

Gregory W. Walker

doi:10.1117/12.241091

27 May 1996 Application of cognitive controls for unmanned aircraft

Gregory W. Walker

Proceedings Volume 2738, Navigation and Control Technologies for Unmanned Systems; (1996) https://doi.org/10.1117/12.241091
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Cognitive computing refers to an emerging family of problem-solving methods that mimic the intelligence found in nature. The common goal of these methods is to crack tough problems that have resisted straightforward analytic solutions, such as intractable problems caused by combinatorial explosions. This paper describes the application of a combination of three of these methods, fuzzy logic, artificial neural networks, and genetic algorithms in a unique manner to provide a solution to rapidly develop flight control systems for unmanned aircraft. The environment resulting from the combination of these three methods has been successfully applied or is currently being applied to the flight control system development for four unmanned rotorcraft: a full scale Bell Helicopter UH-1H aerial target, an American Sportcopter Ultrasport 254 single sear ultralight helicopter, a custom developed 45 pound miniature helicopter operated by the Army at NASA Langley Research Center, and an electronic countermeasures decoy developed at the Naval Research Laboratory. Additional investigations have begun using this approach for the development of flight control system for fixed wing aircraft as either an autopilot for manned flight or as a controller for an unmanned vehicle. This paper gives a broad overview and technical description of these projects.

Citation Download Citation

Gregory W. Walker "Application of cognitive controls for unmanned aircraft", Proc. SPIE 2738, Navigation and Control Technologies for Unmanned Systems, (27 May 1996); https://doi.org/10.1117/12.241091

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available