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Issue 1 (195), article 1

DOI:https://doi.org/10.15407/kvt195.01.005

Kibern. vyčisl. teh., 2019, Issue 1 (195), pp.

Grytsenko V.I., Corresponding Member of NAS of Ukraine,
Director of International Research and Training
Center for Information Technologies and Systems
of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine
e-mail: vig@irtc.org.ua

Volkov A.E., Acting Head of Department,
Intelligent Control Department,
e-mail: alexvolk@ukr.net

Komar N.N., Researcher,
Intelligent Control Department,
e-mail: nickkomar08@gmail.com

Shepetukha Yu.M., PhD (Engineering)
Leading Researcher,
Intelligent Control Department,
e-mail: dep185@irtc.org

Voloshenyuk D.A., Researcher,
Intelligent Control Department,
e-mail: dep185@irtc.org

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

INTEGRAL-ADAPTIVE AUTOPILOT AS A MEANS OF INTELLECTUALIZING A MODERN UNMANNED AERIAL VEHICLE

Introduction. At present unmanned aerial vehicles (UAVs) are successfully used in various industries in performing scientific and engineering, economical, military and a number of other missions. Effectiveness of their functioning is mainly determined by an onboard suit of hardware and software of a UAV’s control system. The process of the existing autopilot systems enhancement is intended to broaden the range of UAV’s tasks without direct human involvement and introduce additional smart functions into autopilot operation.

Purpose. The aim of research is to study the modern algorithms used in autopilots of unmanned aerial vehicles and formulation of the problem of development and usage of new intellectual methods for automatic control systems.

Results. The approach considered in the article is based on the theory of high-precision remote control of dynamic objects and on the complex interaction of methods of theory of invariance, adaptive control and intellectualization of processes of UAV control.

One of the features of the proposed method of intellectual control for unmanned aerial vehicle autopilot is the procedure of transforming a multi-dimensional system into an aggregate of virtual autonomous processes, for each of which the control algorithm is easily generated by an autonomous subsystem. Coming up next is the procedure of coordination of actions of all the autonomous systems into single functioning complex. This provides an opportunity to improved precision and sustainability of control.

Conclusion. Using the method described in the article allows creating integral and adaptive autopilots to perform complicated spatial maneuvering an unmanned aerial vehicle being based on usage of full non-linear models without simplifications and linearization.

Keywords: unmanned aerial vehicle, control system, virtual control, adaptation invariance.

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REFERENCES

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15 Grytsenko V.I., Volkov O.E., Komar M.M., Bogachuk Yu.P. Intellectualization of the modern automatic control systems for unmanned aerial vehicles. Kibernetika i vycislitelnaa tehnika. 2018. N 1 (191). P. 45-59. (in Ukrainian) https://doi.org/10.15407/kvt191.01.045

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Received 19.11.2018

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Issue 1 (187), article 3

DOI: https://doi.org/10.15407/kvt187.01.030

Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.30-49

Pavlov V.V., Doctor of Technics, Professor, Head of Intellectual Control Department
Shepetukha YU.M., PhD (technics), Senior Researcher, Senior Researcher of Intellectual Control Department
e-mail: yshep@meta.ua
Melnikov S.V., PhD (technics), Senior Researcher, Acting Head of Intellectual Control Department
e-mail: dep185@irtc.org.ua
Volkov A.E., Researcher of Intellectual Control Department
e-mail: alexvolk@ukr.net

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine

INTELLIGENT CONTROL: APPROACHES, RESULTS AND PROSPECTS OF DEVELOPMENT

Introduction. Intelligent control systems are advanced computerized systems aimed at the modeling and analysis of intelligent tasks as well as the support of human activity in their solving. Therefore, consideration of both conceptual and applied issues of such systems’ development is an important and urgent scientific problem.

The purpose of the paper is to examine existing approaches, current state, important results and prospects for future development of such new scientific direction as intelligent control.

Methods. Artificial intelligence methods, man-machine theory, conflict resolution theory, theory of deterministic chaos, methods of decision support, methods of distributed control of non-linear applied processes.

Results. One may stress two main directions in the field of intelligent control where promising results have been achieved. The first one, related to the creation of intelligent infrastructure, includes development of methods and structures of distributed control as well as examination of non-linear applied processes in objects with variable properties. The second direction, attributed to the creation of intelligent agents, includes elaboration of methods, models and algorithms for real-time decisions related to the efficient control of dynamic objects.

Conclusion. Modern systems of intelligent control should integrate into a single unity three main components such as: traditional control methods, artificial intelligence theory and decision making approach. The main problem is the transformation of conceptual issues of intelligent systems’ creation into concrete technologies and algorithms of control in specific application domains.

Keywords: intelligent control, human-machine system, conflicts theory, non-linearity, uncertainty, net-centricity.

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Recieved 02.10.2016