By Topic

Application of AI to real-time intelligent attitude control of spacecraft

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Murugesan, S. ; NASA Ames Res. Center, Moffett Field, CA, USA

Modern spacecraft demand from an attitude control system very high performance and accuracy, and many new features, such as self-modification, adaptability, more autonomy, and fault tolerance. It is noted that artificial intelligence and knowledge-based system techniques can be applied to spacecraft attitude control to meet the demanding requirements and to provide many new features. The author discusses the need for and the benefits of integrating artificial intelligence and automatic control techniques. This approach gives the attitude control system the power of reasoning, judgment, and learning and the capability to cope with unexpected and changing situations. An architecture for a real-time intelligent attitude controller is described, consisting of a traditional low-level controller and a knowledge-based system provides meta control to the low-level controller

Published in:

Intelligent Control, 1989. Proceedings., IEEE International Symposium on

Date of Conference:

25-26 Sep 1989