Title :
Application of AI to real-time intelligent attitude control of spacecraft
Author_Institution :
NASA Ames Res. Center, Moffett Field, CA, USA
Abstract :
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
Keywords :
aircraft control; artificial intelligence; attitude control; knowledge based systems; position control; real-time systems; adaptability; artificial intelligence; automatic control; fault tolerance; knowledge-based system techniques; learning; meta control; real-time intelligent attitude control; reasoning; self-modification; spacecraft; Artificial intelligence; Attitude control; Automatic control; Control systems; Fault tolerant systems; Intelligent control; Knowledge based systems; Learning; Real time systems; Space vehicles;
Conference_Titel :
Intelligent Control, 1989. Proceedings., IEEE International Symposium on
Conference_Location :
Albany, NY
Print_ISBN :
0-8186-1987-2
DOI :
10.1109/ISIC.1989.238680