DocumentCode
286663
Title
The application of genetic algorithms to the optimal selection of parameter values in neural networks for attitude control systems
Author
Game, G.W. ; James, C.D.
Author_Institution
Dept. of Guidance & Control, British Aerosp., Bristol, UK
fYear
1993
fDate
34134
Firstpage
42430
Lastpage
42432
Abstract
Spacecraft attitude control is conventionally achieved by the use of reaction wheel or thruster based control schemes. The authors investigate the use of a neural network controller for a thruster based spacecraft attitude control system. They propose to train the neural network using a genetic algorithm
Keywords
aerospace computer control; attitude control; genetic algorithms; neural nets; space vehicles; aerospace control; attitude control; genetic algorithms; neural networks; reaction wheel; spacecraft; thruster based control;
fLanguage
English
Publisher
iet
Conference_Titel
High Accuracy Platform Control in Space, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
255869
Link To Document