Methods in the forecasting models construction based on the evolutionary algorithms

Authors: Grigoryev L.V., Stepchenko E.I.
Published in issue: #12(89)/2023
DOI: 10.18698/2541-8009-2023-12-959
Category: Aviation and Rocket-Space Engineering | Chapter: Aircraft Dynamics, Ballistics, Motion Control
Keywords: inertial navigation system, navigation system, self-organization algorithm, gyro-stabilized platform deflection angle, short-term forecast, unmanned aerial vehicle, inertial navigation system errors, correction
Published: 25.01.2024

A forecasting method was implemented. It is based on the self-organization algorithm and makes it possible to fairly accurately obtain a short-term forecast of the error of the inertial navigation system test model in the autonomous mode. Forecasting method development based on the self-organization algorithm provides a possibility to construct models of the process under consideration with a minimum or even complete absence of the a priori information. A model constructed in the inertial navigation system correction mode with the external sensors could be introduced in the offline correction mode provided that the correction signal disappears, which allows increasing the navigation information accuracy.

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