DOI:https://doi.org/10.15407/kvt202.04.044
Cybernetics and Computer Engineering, 2020, 4(202)
ODARCHENKO R.S., DSc. (Engineering), Associate professor,
Lead Researcher of the Intelligent Control Department,
e-mail: odarchenko.r.s@ukr.net ORCID: 0000-0002-7130-1375
VOLKOV O.Ye.,
Head of the Intelligent Control Department
e-mail: alexvolk@ukr.net ORCID: 0000-0002-5418-6723
SIMAKHIN V.M., PhD student,
Junior Researcher of the Intelligent Control Department
e-mail: thevladsima@gmail.com ORCID: 0000-0003-4497-0925
SEMENOG R.V., PhD student,
Junior Researcher of the Intelligent Control Department
e-mail: ruslansemenog20@gmail.com ORCID: 0000-0002-6714-0644
GOSPODARCHUK O.Yu.,
Senior Researcher of the Intelligent Control Department,
e-mail: dep185@irtc.org.ua ORCID: 0000-0001-6619-2277
International Research and Training Center for Information Technology and Systems of NAS and MES of Ukraine,
40, Acad. Glushkov av., Kyiv, 03187, Ukraine
TECHNOLOGY OF INTELLIGENT CONTROL OF UNMANNED AERIAL VEHICLES MONITORING IN THE AIRSPACE USING 5G CELLULAR NETWORKS
Introduction. The increasing number of unmanned aerial vehicles (UAVs) in the airspace, as well as the imperfection of the regulatory framework for the regulation of their activities, poses numerous challenges to regulators. This work proposes the development of intelligent technologies and soft-/hardware systems combined with state of the art 5G cellular networks for solving problems of UAV registration and monitoring.
The purpose of the paper is to analyze the state of the UAV market and related legislation in the world and Ukraine; to develop the technology for intelligent control of UAV monitoring using cellular networks; to prepare guidelines for the implementation and application of the system.
Methods. The methods of data transmission in 5G networks and construction of global distributed IoT networks for the implementation of monitoring technology, methods of data analysis and detection of anomalies for the study of events occurring in the UAV network were used.
Results. The technology of intelligent monitoring of UAVs with the use of a modern 5G cellular network was developed. The use of the fifth generation network provides high data transfer speeds with ultra-low latency and meets all the necessary security requirements. The technology of intelligent control of UAV monitoring consists of separate methods, which are executed in the monitoring center, data processing center and in the supervisory control and data acquisition system. The use of cellular base stations for primary data processing and filtering speeds up the events processing in the UAV network.
Conclusions. The results of the work can be used by civil aviation regulators for monitoring the usage of airspace by unmanned aerial vehicles, as well as for prevention of casualties and emergencies.
Keywords: information technology, monitoring system, registration system, unmanned aerial vehicle, 5G network.
Methods. The methods based on the theory of matricies are utilized.
Results. The pseudoinverse model-based control leading to static output feedback is proposed to reject unmeasured disturbances. The optimality and robustness properties of such controller are established. Numerical examples and simulation results are presented to support theoretical study.
Conclusion. The paper shed some light on the existence of the pseudoinverse static output feedback controllers which can either be optimal (in the absence of any uncertainty) or be robust stable against parameter uncertainties dealing with the linear multivariable first-order discrete-time system in a hard case when its gain matrix is nonsquare (in contrast to the known results).
Keywords: discrete time, feedback control methods, pseudoinversion, multivariable control systems, robustness.
REFERENCES
1. Unmanned Aerial Vehicle (UAV) Market – Global Forecast to 2025 – MarketsandMarkets, October 2019, p. 322.
2. “Overview of the areas of UAVs’ use in everyday life” URL: http://www.50northspatial.org/ ua/uavs-everyday-life/ (in Ukrainian).
3. “Drones and Ukrainian legislation” URL: http://www.50northspatial.org/ua/drony-ta-ukrayinske-zakonodavstvo/ (in Ukrainian).
4. ICAO Cir 328, Unmanned Aircraft Systems (UAS), p. 54 URL: https://www.icao.int/ meetings/uas/documents/circular%20328_en.pdf.
5. Manual on Remotely Piloted Aircraft Systems (RPAS), ICAO Doc 10019 1st Edition, p. 166 URL: https://store.icao.int/en/manual-on-remotely-piloted-aircraft-systems-rpas-doc-10019.
6. Convention on International Civil Aviation. Ninth Edition. [ebook] Chicago: International Civil Aviation Organization, p. 114 URL: http://www.icao.int/publications/Documents/7300_orig.
7. Zeng, Q. Wu and R. Zhang, “Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond”. Proceedings of the IEEE, vol. 107, no. 12, pp. 2327-2375, Dec. 2019
https://doi.org/10.1109/JPROC.2019.2952892
8. A. Fotouhi, H. Qiang, M. Ding, M. Hassan, L. Galati Giordano, A. Garcia-Rodriguez, and J. Yuan “IEEE Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges”. Journal of communications surveys and tutorials. 2019, pp 1-28
https://doi.org/10.1109/COMST.2019.2906228
9. M. Mozaffari, W. Saad, M. Bennis, Y.-H. Nam, and M. Debbah. “A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems”. ArXiv e-prints, Mar 2018 – arXiv:1803.00680
https://doi.org/10.1109/COMST.2019.2902862
10. S. Hayat, E. Yanmaz, and R. Muzaffar. “Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint”. IEEE Communications Surveys Tutorials. 18(4), Fourthquarter 2016, pp.2624-2661.
https://doi.org/10.1109/COMST.2016.2560343
11. Y. Zeng, R. Zhang, and T. Joon Lim. “Wireless communications with unmanned aerial vehicles: opportunities and challenges”. IEEE Communications Magazine. 54(5), 2016, pp. 36-42.
https://doi.org/10.1109/MCOM.2016.7470933
12. NTT DOCOMO Inc., Ericsson. New SID on enhanced support for aerial vehicles. 3GPP RP-170779 RAN#75, Mar. 2017..
13. 3GPP Technical Document RP 181644. Summary for WI Enhanced LTE Support for Aerial Vehicles. Sept. 2018.
14. L. Gupta, R. Jain, and G. Vaszkun. “Survey of Important Issues in UAV Communication Networks”. IEEE Communications Surveys Tutorials. 18(2) Secondquarter 2016, pp. 1123-1152.
https://doi.org/10.1109/COMST.2015.2495297
15. Hu Zhengbing, V. Gnatyuk, V. Sydorenko, R. Odarchenko, and S. Gnatyuk. “Method for cyberincidents network-centric monitoring in critical information infrastructure”. International Journal of Computer Network and Information Security.9, no. 6, 2017, pp. 30-43
https://doi.org/10.5815/ijcnis.2017.06.04
16. R. Odarchenko, P. Usik, O. Volkov, V. Simakhin, O. Gospodarchuk and Y. Burmak “5G Networks Cyberincidents Monitoring System for Drone Communications”. 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) Kyiv, Ukraine, October 22-24, 2019, pp. 165-169.
https://doi.org/10.1109/APUAVD47061.2019.8943890
Received 10.09.2020