Formulation of a Navigation Path for an Unmanned Aerial Vehicle in a Dynamic Environment

Authors

DOI:

https://doi.org/10.18372/1990-5548.89.21476

Keywords:

unmanned aerial vehicle, autonomous flight, flight path stabilisation, dynamic disturbances, spatial positioning, adaptive control

Abstract

This paper considers the formation of a navigation path for an unmanned aerial vehicle operating in a dynamic environment. The relevance of the study is determined by the need to ensure stable autonomous flight under external disturbances, navigation measurement uncertainty, and temporal delays in control processes. The aim of the work is to develop a mathematical framework for a navigation control loop that maintains the predefined flight path and compensates for dynamic deviations. A navigation control loop architecture combining spatial state estimation, trajectory tracking, motion stabilisation, and corrective control synthesis is proposed. The developed mathematical framework formalises trajectory deviation estimation, control generation, disturbance compensation, and stability assessment. Simulation modelling in Mission Planner demonstrated that the proposed approach reduces spatial trajectory deviations and improves route tracking stability under dynamic disturbances. The developed approach can be applied in autonomous flight, navigation, and trajectory stabilisation systems of unmanned aerial vehicles.

Author Biographies

Mykola Voitekh , National University “Kyiv Aviation Institute”

Postgraduate student

Department of Intelligent Cybernetic Systems

Vitaly Nechyporuk , National University “Kyiv Aviation Institute”

Candidate of Technical Sciences

Associate Professor

Department of Civil and Industrial Safety named after Hero of Ukraine O. S. Chub

References

[1] S. O. Kashkevich, (Ed.) Decision support systems: mathematical support. Kharkiv: 2025. TECHNOLOGY CENTER PC. https://doi.org/10.15587/978-617-8360-13-9.

[2] K. A. Tamer, O. Sova, O. Shaposhnikova, V. Yashchenok, I. Stanovska, S. Shostak, O. Rudenko, S. Petruk, O. Matsyi, & S. Kashkevich, “Development of a solution search method using a combined bio-inspired algorithm,” Eastern-European Journal of Enterprise Technologies, 1(4/127), 6–13, 2024. https://doi.org/10.15587/1729-4061.2024.298205.

[3] B. A. Mohammed, I. Stanovska, S. Kashkevich, A. Lebedynskyi, Y. Vakulenko, N. Protas, O. Klyuchak, O. Lastivka, A. Semeniuk, and O. Kivshar, “Development of a methodological approach for assessing the condition of complex organizational and technical systems,” Eastern-European Journal of Enterprise Technologies, 2(3(134)), 47–53, 2025. https://doi.org/10.15587/1729-4061.2025.326468.

[4] S. Kashkevich, I. Dmytriiev, I. Shevchenko, O. Lytvynenko, L. Shabanova-Kushnarenko, and N. Apenko, “Scientific-method apparatus for improving the efficiency of information processing using artificial intelligence,” Information and control systems: modelling and optimizations: collective monograph. Kharkiv: ТЕСHNOLOGY СЕNTЕR PC, 2024, рр. 137–167. https://doi.org/10.15587/978-617-8360-04-7.ch5.

[5] S. Yakymiak, Y. Vdovytskyi, Y. Artabaiev, L. Degtyareva, Y. Vakulenko, S. Nevhad, V. Andronov, R. Lazuta, P. Shapoval, & Y. Artamonov, “Development of the solution search method using the population algorithm of global search optimization,” Eastern-European Journal of Enterprise Technologies, vol. 3, no. 4 (123), pp. 39–46, 2023. https://doi.org/10.15587/1729-4061.2023.281007.

[6] N. Baisholan, K. Baisholanova, K. Kubayev, Z. Alimzhanova, and N. Baimuldina, “Corporate Network Anomaly Detection Methodology Utilizing Machine Learning Algorithms,” Smart Sci., 12, 666–678, 2024.

[7] S. O. Hnatyuk, R. Sh. Berdybayev, V. M. Sydorenko, O. K. Zhigarevych, & T. V. Smirnova, “Event correlation and cybersecurity incident management system at critical infrastructure facilities,” Cybersecurity: Education, Science, Technology, 3(19), 176–196, 2023. https://doi.org/10.28925/2663-4023.2023.19.176196

[8] A. A. Polozhentsev & V. M. Sydorenko, “IT threat management method for critical information infrastructure facilities,” Science-Intensive Technologies, 2(62), 143–153, 2024. [in Ukrainian]

[9] T. Dong and T. Huang, “Neural Cryptography Based on Complex-Valued Neural Network,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 11, pp. 4999–5004, 2020. https://doi.org/10.1109/TNNLS.2019.2955165

[10] I. Puleko, O. Svintsytska, V. Chumakevych, V. Ptashnyk, and Yu. Polishchuk, “The Scalar Metric of Classification Algorithm Choice in Machine Learning Problems Based on the Scheme of Nonlinear Compromises,” CEUR Workshop Proceedings, vol. 3171, pp. 1066–1075, 2022.

[11] Nechyporuk,O., & S. Podelskyi, Information System Functioning Based on Multidimensional Time Series. Electronics and Control Systems, 2(88), 61–68, 2026. https://doi.org/10.18372/1990-5548.88.20967

[12] L. G. Yudina and O. P. Nechyporuk, “Analysis of the impact of unmanned aerial vehicle shooting parameters on terrain recognition accuracy,” Nauka i tekhnika sʹohodni, no. 3 (57), pp. 1989–1999, 2026. https://doi.org/10.52058/2786-6025-2026-3(57)-1989-1999

[13] S. Kashkevich, O. Nechyporuk, N. Apenko, I. Branovitska. Method for optimising routes based on the behaviour of snakes in uav data exchange systems. Information Technology and Society, (4(19), 78-82,2025. https://doi.org/10.32689/maup.it.2025.4.13 [in Ukrainian]

[14] A. E. Qoussini, Y. I. Daradkeh, S. M. Al Tabib, S. Gnatyuk, T. Okhrimenko and V. Kinzeryavyy, "Improved Model of Quantum Deterministic Protocol Implementation in Channel with Noise," 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems:Technology and Applications (IDAACS), Metz, France, 2019, pp. 572–578, https://doi.org/10.1109/IDAACS.2019.8924287

[15] O. Turovsky, Y. Khlaponin, M. Mohamed, T. Okhrimenko, I. Goncharenko, & M. Iavich, “Combined System of Phase Synchronization with Increased Astatism order in Frequency Monitoring Mode,” International Workshop on Control, Optimisation and Analytical Processing of Social Networks. 2020.

Downloads

Published

2026-09-18

How to Cite

Voitekh , M., & Nechyporuk , V. (2026). Formulation of a Navigation Path for an Unmanned Aerial Vehicle in a Dynamic Environment. Electronics and Control Systems, 3(89), 63–71. https://doi.org/10.18372/1990-5548.89.21476

Issue

Vol. 3 No. 89 (2026)

Section

INFORMATION SYSTEMS AND TECHNOLOGIES

License

Copyright (c) 2026 Микола Юрійович Войтех , Віталій Володимирович Нечипорук

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The scientific journal “Electronics and control systems” adheres to the principles of Open Access and provides free, immediate, and permanent access to all published materials without financial, technical, or legal barriers for readers.

All articles are published in Open Access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Copyright

Authors who publish their works in the journal “Electronics and control systems”:

  • retain the copyright to their publications;

  • grant the journal the right of first publication of the article;

  • agree to the distribution of their materials under the CC BY 4.0 license;

  • have the right to reuse, archive, and distribute their works (including in institutional and subject repositories), provided that proper reference is made to the original publication in the journal.