Aircraft vortex wake detection based on airflow skew data using gradient optimization methods
https://doi.org/10.26467/2079-0619-2026-29-2-76-92
Abstract
This paper studies the problem of automatic detection of stable vortex wake generated by fixed-wing aircraft using airflow skew vectors measurements. A methodological approach is proposed that enables the effective application of gradient optimization methods to solve this problem. To smooth the objective function, a modification of the classical Rankine vortex model is developed. Constraints are introduced that significantly reduce the search space and eliminate the periodicity problem. It is further demonstrated that excluding data with low skew levels allows to obtain a unimodal objective function, thereby increasing the reliability of the search. Experiments conducted in a wind tunnel confirmed the effectiveness of the proposed algorithm: in all test scenarios the presence of a vortex wake was successfully detected for various wing configurations. The obtained results can be used to improve fuel efficiency in formation flight and for the development of onboard monitoring systems for vortex structures.
About the Author
A. A. Krivoschapov
Central Aerohydrodynamic Institute
Russian Federation
Russian Federation
Aleksey A. Krivoschapov, Researcher
Zhukovsky
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Review
For citations:
Krivoschapov A.A. Aircraft vortex wake detection based on airflow skew data using gradient optimization methods. Civil Aviation High Technologies. 2026;29(2):76-92. (In Russ.) https://doi.org/10.26467/2079-0619-2026-29-2-76-92
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