В.Н. Коновалов, М.О. Корлякова
14
Approach to developing control systems of micro spacecraft
in neuronetwork basis
© V.N. Konovalov, M.O. Korlyakova
Kaluga Branch of Bauman Moscow State Technical University, Kaluga, 248000, Russia
The article reviews the main directions in hardware implementation of neural networks
and examines their opportunities for using onboard micro spacecraft. The main require-
ments to onboard control systems and approaches to their neuronetwork realization are
considered. The findings of this research illustrate restrictions and requirements to the
resources necessary for onboard systems of micro spacecraft. We show that it is possible
to find the effective solution in simple networks. We modeled separate blocks of a neu-
ronetwork control system in the conditions of limited resources and presented the neu-
ronetwork model of approximating the tabular model of the atmosphere. We provide the
sample task solution in float and discrete formats of synapse. The article delves into ap-
proximation errors in networks of different architecture and shows, that even for options
with the discrete form of inputs and a short format of representing the synapses, the task
solution quality is sufficient.
Keywords:
neuronetworks, micro spacecraft, control system
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