Targeting and navigation complex algorithms of an unmanned aerial vehicle impactor

Authors: Surkova A.D., Kuznetsov M.A.
Published in issue: #11(76)/2022
DOI: 10.18698/2541-8009-2022-11-838
Category: Informatics, Computer Engineering and Control | Chapter: Automation, Control of Technological Processes, and Industrial Control
Keywords: unmanned aerial vehicle, inertial navigation system, aiming navigation system, error, correction scheme, estimation algorithm, optimal Kalman filter, adaptive Kalman filter
Published: 06.12.2022

This paper investigates an algorithmic method to improve the accuracy of navigation systems for unmanned aerial vehicles. The scheme of inertial navigation systems error correction using information from satellite navigation systems and an evaluation algorithm in the form of a Kalman filter was selected. The expediency of using this correction scheme in the presence of signals from external navigation information sensors is shown. An experiment consisting in modeling the errors of inertial navigation systems and data processing using this scheme, which includes an optimal and adaptive Kalman filter, is conducted. The results of mathematical modeling demonstrate the greater efficiency of the adaptive Kalman filter in the absence of reliable a priori information about the input noise.

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