Methods for Measuring the Efficiency of UAVs in the Air Navigation System

Authors

DOI:

https://doi.org/10.18372/1990-5548.79.18445

Keywords:

unmanned aerial vehicles efficiency, flight safety, statistical indicators, economic effect, air navigation system, performance measurement, control and planning, multicriteria optimization

Abstract

The article discusses the concept of efficiency in the context of assessment system solutions and the methods used to measure it. Efficiency is defined as the ability to produce effects and achieve results, while effectiveness is understood as the outcome of certain actions. Efficiency theory is based on operations research and decision-making methods using mathematical models such as probability theory and machine learning techniques. The results of performance measurements can be used to solve a variety of practical problems related to unmanned aerial vehicles, including comparing similar systems, conducting operational assessments, and optimizing requirements. The paper also discusses the modification of flight control and planning models, where stochastic parameters that affect mission quality need to be considered. Societal effects, such as flight normality and safety, can be measured by direct assessment methods and statistical metrics. More generalized metrics can be used to assess flight safety by comparing the number of accidents and workload. Suggested methods include the use of mathematical models and integration techniques to assess flight safety.

Author Biographies

Haoyang Li, National Aviation University, Kyiv, Ukraine

PhD

Faculty of Air Navigation, Electronics and Telecommunications

Volodymyr Kharchenko , National Aviation University, Kyiv, Ukraine

Doctor of Engineering Science

Professor

Faculty of Air Navigation, Electronics and Telecommunications

References

I. Grishin, R. Timirgaleeva, & I. Linnik, “Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs,” In 2021 30th Conference of Open Innovations Association FRUCT, IEEE, 2021 October, pp. 70–76. https://doi.org/10.23919/FRUCT53335.2021.9599972

Y. Lu, Z. Xue, G. S. Xia, & L. Zhang, “A survey on vision-based UAV navigation,” Geo-spatial information science, 21(1), pp. 21–32, 2018. https://doi.org/10.1080/10095020.2017.1420509

S. F. Abedin, M. S. Munir, N. H. Tran, Z. Han, & C. S. Hong, “Data freshness and energy-efficient UAV navigation optimization: A deep reinforcement learning approach,” IEEE Transactions on Intelligent Transportation Systems, 22(9), 2020, pp. 5994–6006. https://doi.org/10.1109/TITS.2020.3039617

V. Kharchenko, V. Kondratyuk, S. Ilnytska, O. Kutsenko and V. Larin, "Urgent problems of UAV navigation system development and practical implementation," 2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD), Kyiv, Ukraine, 2013, pp. 157–160. https://doi.org/10.1109/APUAVD.2013.6705313

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Published

2024-03-29

Issue

Section

AVIATION TRANSPORT