Issue 1 (215) – CCE Journal

Cybernetics and Computer Engineering, 2024,1(215)

Shepetukha Y.M., PhD (Technics), Senior Researcher,
Leading Researcher of Intelligent Control Department
https://orcid.org/0000-0002-6256-5248
e-mail: yshep@meta.ua

Semenog R.V., PhD Student,
Deputy Head of the Research Laboratory of Unmanned Complexes and Systems
https://orcid.org/0000-0002-6714-0644
e-mail: ruslansemenog20@icloud.com

International Research and Training Center for Information
Technologies and Systems of the National Academy of Sciences
of Ukraine and the Ministry of Education and Science of Ukraine,
40, Akad. Glushkov av., Kyiv, 03187, Ukraine

SEQUENTIAL STRUCTURING METHOD FOR BUILDING DYNAMIC OBJECTS MANAGEMENT SYSTEMS

Introduction. The growing role of information technologies makes them an important part of modern facilities management systems and contributes to increasing their efficiency, security and their ability to adapt to changes. A new type of information systems is emerging that uses advanced technologies to automate and optimize management processes, including artificial intelligence and others — Intelligent Management Systems(IMS), is emerging now.

The next step in this direction is complex systems that allow dynamic objects to be controlled independently of external intervention — autonomous control systems (ACS). SACs use a variety of sensors, data processing and decision-making algorithms and are widely used in the automotive industry (for example, self-driving cars), in unmanned aerial vehicles (drones), and many other industries where independent and efficient control of objects is required.

The purpose of the article is to investigate modern concepts of building autonomous control systems for dynamic objects and to describe methods of intellectualization of such systems.

The results. A modern approach to the construction of systems of autonomous control of dynamic objects, based on sequential structuring, was studied. Methods of creating systems aimed at optimizing automatic management of dynamic objects are highlighted.

Conclusions. A promising direction of research is the development of a new generation of intelligent information technologies that use information processing mechanisms that are based on the method of sequential structuring in the construction of automatic control systems.

Concepts for building automatic control systems should ensure the application of meaningful data processing methods and use components of synergistic interaction of human-machine control systems. The application of the methodology of sequential structuring of weakly formalized components of intellectual problems in visual management systems allows achieving some unification in solving a certain class of intellectual management problems.

The further direction of research consists in the development of a new generation of information technologies and the corresponding toolkit of automatic control, which will apply methods of meaningful data processing, in particular, the method of sequential structuring for the intellectualization of automatic control systems.

Keywords: intelligent information technology, artificial intelligence, intelligent control, dynamic object, imaginative thinking, autonomy.

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10. Gonzales D., Harting S. Designing unmanned systems with greater autonomy. RAND Corporation, Santa Monica, CA, USA. 2014. Access mode: https://www.rand.org/content/ dam/rand/pubs/research_reports/RR600/RR626/RAND_RR626.pdf

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14. Shepetukha Yu.M., Volkov O.Ye., Komar M.M.. Intellectualization of decision making processes in autonomous control systems. Cybernetics and computer engineering. 2021, N. 2 (204), pp. 49-63 http://jnas.nbuv.gov.ua/article/UJRN-0001262408
https://doi.org/10.15407/kvt204.02.049

Received 04.01.2024

March 19, 2024June 26, 2024

admin

Issue 1 (215), article 4

DOI:https://doi.org/10.15407/kvt215.01.048

Cybernetics and Computer Engineering, 2024,1(215)

Volosheniuk D.O., PhD (Technics), Senior Researcher,
Head of the Research Laboratory of Unmanned Complexes and System
https://orcid.org/0000-0003-3793-7801,
e-mail: p-h-o-e-n-i-x@ukr.net

Tymchyshyn R.M., PhD Student,
Researcher of the Research Laboratory of Unmanned Complexes and System
https://orcid.org/0000-0002-4243-4240,
e-mail: romantymchyshyn.rt@gmail.com

INTELLIGENT INFORMATION TECHNOLOGY FOR TRANSPORT INFRASTRUCTURE MONITORING

Introduction. The rapid growth in the number of UAV developments in recent years is associated with serious technological advances in various fields. In particular, successes in the field of geographic information systems (GIS) raise the problem of dynamic modeling of reality and maintenance of cartographic information in an up-to-date state. To eliminate it, it is necessary to solve the problem of prompt introduction of changes. If the information contained in the GIS is inaccurate or outdated, its analysis will not correspond to the real situation, which can lead to wrong decisions.

That is why data about objects in GIS need systematic updating. Without updating the GIS data, they cannot perform the tasks for which they are intended. Therefore, the joint use of UAVs and GIS becomes an important component of a unified information and communication environment.

The purpose of the article is to investigate the information technology of ensuring the process of monitoring the transport infrastructure using the optical systems of an unmanned aerial vehicle (UAV).

The results. The issue of the need to create a new perspective system for controlling unmanned aerial vehicles and the development of methods for its intellectualization was considered. The ideas of applying the theory of invariance and autonomy for the synthesis of promising control systems are proposed, as well as a number of methods for ensuring a high level of their intellectualization. An approach to solving the problem is proposed, based on the theory of high-precision remote control of dynamic objects, as well as on the complex interaction of the methods of the theory of autonomy, adaptive control, and intellectualization of the processes of control of dynamic objects.

Conclusions. The obtained research results indicate the possibility of successful application of the developed transport infrastructure monitoring technology, in particular for the management of engineering networks. The solutions used in the developed technology are universal and capable of solving complex tasks for electric, water, heat and gas networks, as well as for roads and railways.

Prospects for further research are to improve the quality of thematic processing methods to improve the classification result. The developed methods can be used instead of expert decryption of monitoring data with similar and even higher accuracy.

Keywords: unmanned aerial vehicle, control system, invariance, intellectualization, autonomy.

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Received 03.01.2024

March 19, 2024June 26, 2024

admin

Issue 1 (215), article 3

DOI:https://doi.org/10.15407/kvt215.01.035

Cybernetics and Computer Engineering, 2024,1(215)

Komar M.M., PhD (Engineering), Senior Researcher  Deputy Director for Scientific and Organizational Work,
https://orcid.org/0000-0001-9194-2850,
e-mail:nickkomar08@gmail.com

Chepizhenko V.I., DSc (Engineering), Senior Researcher,
Leading Researcher of the Intelligent Control Department,
https://orcid.org/0000-0001-8797-4868,
e-mail: chepizhenko.valeriy@gmail.com

Bogachuk Yu.P., PhD (Engineering), Senior Researcher,
Leading Researcher of the Intelligent Control Department
https://orcid.org/0000-0002-3663-350X,
e-mail: dep185@irtc.org.ua

Soloviev M.V., PhD Student,
Leading Engineer of the Research Laboratory of Unmanned Complexes and Systems
https://orcid.org/0009-0003-5131-7497,
e-mail: 19Leviathan90@gmail.com

DEVELOPMENT OF THE MULTI PURPOSE SIMULATION COMPLEX FOR TRAINING OF UNMANNED SYSTEMS OPERATORS

Introduction. This paper discusses the development of a multi-domain simulation complex for training unmanned systems operators. Active use of unmanned systems, their improvement, and complication of designs require the creation and development of simulators and modeling equipment, the use of which ensures effective training of competent operators.

The purpose of the paper is development of the multipurpose simulation complex for training of unmanned systems operators and for performing experimental and research works.

The methods. The following methods were used during the work: methods of automatic control, theory of navigation, theory of group decision making, theory of construction of distributed control systems for aircraft in a network-centric environment, methods of semi-natural modeling, methods of software engineering, methods for evaluating the piloting characteristics and stability and controllability characteristics of simulators, methods for evaluating the visualization systems of simulators.

The results. As a result of the work, a prototype of the complex was created, which can be used for the development and research of aircraft control systems, training of unmanned systems operators, and conducting experimental research.

Conclusions. The developed prototype of the multi-domain simulation complex is a tool for solving the problem of quality training of operators. The complex allows operators to be trained in a safe environment, which reduces the risk of equipment damage and injuries to people. In addition, the complex allows for the study of aircraft control systems and the development of new control algorithms.

Keywords: Unmanned system, Training complex, Virtual environment, Operator, Simulation, Simulation complex, Control systems.

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10. Selecký M., et al. Analysis of using mixed reality simulations for incremental development of multi-uav systems. Journal of Intelligent & Robotic Systems. 2019, 95(1), pp. 211-227.
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15. Garzón M., Valente J., Roldán J.J., Garzón-Ramos D., de León J., Barrientos A., del Cerro J. Using ROS in Multi-robot Systems: Experiences and Lessons Learned from Real-World Field Tests. Robot Operating System (ROS): The Complete Reference; Koubaa, A., Ed.; Springer International Publishing: Cham, Switzerland. 2017, Volume 2, pp. 449-483.
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16. Mueller M., Smith N., Ghanem B. A Benchmark and Simulator for UAV Tracking. Proceedings of the Computer Vision-ECCV 2016, Amsterdam, The Netherlands, 8-16 Oct 2016; Leibe B., Matas J., Sebe N., Welling M., Eds.; Springer International Publishing: Cham, Switzerland. 2016, pp. 445-461.
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27. Volkov O., Komar M., Synytsya K., & Volosheniuk D. The UAV simulation complex for operator training. Multi Conference on Computer Science and Information Systems, MCCSIS 2019-Proceedings of the International Conference on e-Learning 2019. 2019, pp. 313-316.
https://doi.org/10.33965/el2019_201909R044

Received 29.12.2023

March 19, 2024June 26, 2024

admin

Issue 1 (215), article 2

DOI:https://doi.org/10.15407/kvt215.01.020

Cybernetics and Computer Engineering, 2024,1(215)

Dzhebrailov R.Yu., PhD Student,
Junior Researcher of the Research Laboratory of Unmanned Complexes and Systems,
https://orcid.org/0000-0002-4473-9670,
e-mail: rombik1197@gmail.com

Gospodarchuk O.Yu.,
Senior Researcher of the Intelligent Control Department
https://orcid.org/0000-0001-6619-2277,
e-mail: olexago@gmail.com

International Research and Training Center
for Information Technologies and Systems
of the National Academy of Science of Ukraine and the Ministry of Education and Science of Ukraine.
40, Acad. Glushkov av., 03187, Kyiv, Ukraine

DETECTION OF SPECIAL ZONES AS A BASIS FOR THE METHOD OF TOPOGRAPHIC AFFINITY OF IMAGES

Introduction. The satellite and inertial navigation systems of an unmanned aerial vehicle (UAV) or unmanned aircraft system (UAS) have their drawbacks. Attempts to eliminate these shortcomings are to develop an autonomous navigation system. The officially patented model of an autonomous navigation system, as it turned out, also has its drawbacks. Accordingly, there is a need to improve such an autonomous navigation system.

The purpose of the paper is to develop and study a method for determining the topographic affinity of images based on the detected special zones in images of the natural landscape for autonomous UAV navigation.

Results. A method of topographic affinity of visual images based on the detection of special zones by searching for local maxima of the Laplace operator in the image has been developed. The method of topographic affinity of images allows involving a smaller number of special points for comparison, which reduces the amount of required memory resources and increases performance.

Conclusions. The proposed method of topographic affinity of images based on the detection of special zones (blob detection methods) based on the principle of searching for local maxima of the Laplace operator can be used to build an autonomous navigation system for UAVs. The algorithmic implementation of the method has shown that it can work with a large number of complex and diverse images of the earth’s surface obtained during UAV flights, is effective by increasing the processing speed of the studied images, and can be implemented to create full-fledged UAV autonomous navigation systems.

Keywords: unmanned aerial vehicle, unmanned aerial vehicle complex, autonomous navigation, special points, special zones, method of special image zones analysis.

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16 Zavadil J., Tuma J., Santos V. Traffic signs detection using blob analysis and pattern recognition. Proceedings of the 13th International Carpathian Control Conference (ICCC), High Tatras, 28-31 May 2012. 2012, pp. 776-779.
https://doi.org/10.1109/CarpathianCC.2012.6228752

Received 19.12.2023

March 19, 2024June 26, 2024

admin

Issue 1 (215), article 1

DOI:https://doi.org/10.15407/kvt215.01.005

Cybernetics and Computer Engineering, 2024,1(215)

Volkov O.Ye., PhD (Engineering), Senior Researcher
Director
https://orcid.org/0000-0002-5418-6723,
e-mail: alexvolk@ukr.net

Simakhin V.M., PhD Student,
Senior Researcher of the Research Laboratory of Unmanned Complexes and Systems
https://orcid.org/0000-0003-4497-0925,
e-mail: thevladsima@gmail.com

ALGORITHM FOR CONTROLLING THE FULL ENERGY OF AN UNMANNED AERIAL VEHICLE

Introduction. The development of unmanned aviation requires constant active implementation of new technologies and systems. Autonomous control and navigation are among the most relevant areas of development of unmanned aerial vehicles (UAVs). Various approaches and tools are used to increase the level of intellectualization of UAV control, including are full-energy control systems.

The purpose of the paper is to develop a full-energy control algorithm for UAVs to enhance control intellectualization through dynamic regulation of the altitude and flight speed of the aircraft.

Methods. Theory of intelligent control, automatic control, theory of UAV flight dynamics.

Results. To develop the algorithm for controlling the full energy of UAVs, the theoretical basis of full-energy control systems was considered, and the development of the concept of such modern systems was analyzed. On the basis of the general laws of aircraft control, a full-energy control algorithm for UAVs was synthesized, which operates in three modes: full energy control, altitude control, and flight speed control.

Conclusions. The developed full-energy control algorithm covers the main necessary UAV control modes for performing flight tasks in a volatile environment. The use of such an algorithm in modern navigation and flight systems will increase the efficiency and intellectualize the UAV control process.

Keywords: Unmanned Aerial Vehicle, Control Algorithm, Full Energy Control, Navigation and Piloting Complex, TECS.

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1 Kevin R. Bruce. (NASA-CR-778285) NASA B737 Flight Test Results of the Total Energy Control System (Boeing Commercial Airplane Cc.). Seattle, Washington, 1987. 103 p.
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4 Jimenez, P., Lichota, P., Agudelo, D. and Rogowski, K. Experimental Validation of Total Energy Control System for UAVs. In Energies, 2019, Vol. 13, Number 1, 14. p.
https://doi.org/10.3390/en13010014

5 Lai, Y.-C. and Ting, W. Design and Implementation of an Optimal Energy Control System for Fixed-Wing Unmanned Aerial Vehicles. In Applied Sciences, 2016, Vol. 6, Number 11, 369. p.
https://doi.org/10.3390/app6110369

6 Volkov, O. Ye., Shepetukha, Y. M., Bogachuk, Y. P., Komar, M. M., & Volosheniuk, D. O. Experience in Development and Implementation of Intelligent Systems for Control of Dynamic Objects. In Control Systems and Computers, 2022, Issue 1 (297), pp. 64-81.[In Ukrainian]
https://doi.org/10.15407/csc.2022.01.064

7 Volkov, O., Komar, M., Rachkovskij, D., & Volosheniuk, D. Technology of Autonomous Take-Off and Landing for the Modern Flight and Navigation Complex of an Unmanned Aerial Vehicle. In Cybernetics and Systems Analysis. 2022, Vol. 58, Issue 6, pp. 882-888.[In Ukrainian]
https://doi.org/10.1007/s10559-023-00521-1

Received 13.12.2023

Category: Issue 1 (215)

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