design of an adaptive-neural network attitude controller of a satellite using reaction wheels

نویسندگان

abbas ajorkar

alireza fazlyab

farhad fani saberi

mansour kabganian

چکیده

in this paper, an adaptive attitude control algorithm is developed based on neural network for a satellite using four reaction wheels in a tetrahedron configuration. then, an attitude control based on feedback linearization control has been designed and uncertainties in the moment of inertia matrix and disturbances torque have been considered. in order to eliminate the effect of these uncertainties, a multilayer neural network with back-propagation law is designed. in this structure, the parameters of the moment of inertia matrix and external disturbances are estimated and used in feedback linearization control law. finally, the performance of the designed attitude controller is investigated by several simulations.

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عنوان ژورنال:
journal of applied and computational mechanics

ناشر: shahid chamran university of ahvaz

ISSN 2383-4536

دوره 1

شماره 2 2014

میزبانی شده توسط پلتفرم ابری doprax.com

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