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
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;
Conference_Titel :
High Accuracy Platform Control in Space, IEE Colloquium on
Conference_Location :
London
