Intelligent flight control: what are the flight programs and why develop this technology?

Author

Urnes, James M., Sr.

Author_Institution

Boeing Co., St. Louis, MO, USA

Volume

2

fYear

2002

fDate

4-7 Aug. 2002

Abstract

The Boeing Company is conducting a series of programs with NASA, DARPA, and the USAF that apply intelligent control technology to flight control systems. These control systems are designed to adapt to off-nominal damage or failure conditions. Reconfigurable control, artificial neural network models, self-learning neural networks, and matrix inverse control methods are some of the technologies used in these flight research projects. This paper addresses the need for intelligent control and the general requirements for the design of intelligent systems. A description is given of the major intelligent controls programs being conducted by Boeing.

Keywords

aerospace control; aerospace expert systems; intelligent control; matrix inversion; military avionics; neural nets; reconfigurable architectures; unsupervised learning; Boeing Company; DARPA; NASA; USAF; artificial neural network models; failure conditions; flight control systems; flight programs; flight research projects; intelligent control technology; intelligent flight control; intelligent systems design; matrix inverse control methods; off-nominal damage conditions; reconfigurable control; self-learning neural networks; Aerospace control; Aircraft propulsion; Artificial intelligence; Artificial neural networks; Control systems; Engines; Force control; Intelligent control; NASA; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on

Print_ISBN

0-7803-7523-8

Type

conf

DOI

10.1109/MWSCAS.2002.1186816

Filename

1186816