Aircraft control scheme based on neural networks

Control systems


Sukhanov N. V.

Military Academy of Strategic Missile Forses named after Petr Veliky, 9/5, Kitaygorodsky Proezd, Moscow, 109074, Russia



The main aim of this work is to provide a good base for the applicability of neural network inverse-adaptive scheme designed for spacecraft control.
The neural network inverse-adaptive schemes of various objects were modeled in the MATLAB software environment with subsequent conclusions about the quality of management and recommendations identification for further improvement.
There made some conclusions about fundamental suitability of selected scheme designed for control of spacecraft perspective.
The new algorithm for creation of neural network inverse-adaptive control system was developed. The recommendations for modernizing of management scheme were proposed in order to overcome the open-loop system.


control, flight, compound object, neural network, inverse-adaptive scheme


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