design of an adaptive-neural network attitude controller of a satellite using reaction wheels
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abstract
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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Journal title:
journal of applied and computational mechanicsPublisher: shahid chamran university of ahvaz
ISSN 2383-4536
volume 1
issue 2 2014
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