Issue 4 (202), article 3


Cybernetics and Computer Engineering, 2020, 4(202)

ODARCHENKO R.S., DSc. (Engineering), Associate professor,
Lead Researcher of the Intelligent Control Department,
e-mail: ORCID: 0000-0002-7130-1375

Head of the Intelligent Control Department
e-mail: ORCID: 0000-0002-5418-6723

SIMAKHIN V.M., PhD student,
Junior Researcher of the Intelligent Control Department
e-mail: ORCID: 0000-0003-4497-0925

SEMENOG R.V., PhD student,
Junior Researcher of the Intelligent Control Department
e-mail: ORCID: 0000-0002-6714-0644

Senior Researcher of the Intelligent Control Department,
e-mail: 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


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.

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Received 10.09.2020