Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control

Part of Advances in Neural Information Processing Systems 1 (NIPS 1988)

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Authors

Phillip Alvelda, A. San Martin

Abstract

computational bottlenecks

Currently, the most complex spacecraft attitude determination and control tasks are ultimately governed by ground-based systems and personnel. Conventional on-board systems face severe serial microprocessors operating on inherently parallel problems. New computer architectures based on the anatomy of the human brain seem to promise high speed and fault-tolerant solutions to the limitations of serial processing. This paper discusses the latest applications of artificial neural networks to the problem of star pattern recognition for spacecraft attitude determination.