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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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REFERENCE

1 Zilouchian A., Jamshidi M. Intelligent control systems using soft computing methodologies. Boca Raton: CRC Press, 2001. 492 p.
https://doi.org/10.1201/9781420058147

2 Shtcherbatov I.A. Intelligent control of robot-technical systems in uncertainty conditions. Bulletin of Astrakhan State Technical University. 2010. No1. pp. 73–77 (in Russian).

3 Antsaklis P.J. On intelligent control: report of the IEEE CSS task force on intelligent control. Technical report of the ISIS group No. ISIS 94-001. University of Notre Dame. 1994. 31 p.

4 Albus J.S. On intelligence and its dimensions. Technical report of the ISIS (Interdisciplinary studies of intelligent systems) group No. ISIS 94-001. University of Notre Dame. 1994. P. 11–13.

5 Antsaklis P.J. On autonomy and intelligence in control. Technical report of the ISIS group No. ISIS 94-001. University of Notre Dame. 1994. P. 14–18.

6 Meystel A. On intelligent control, learning and hierarchies. Technical report of the ISIS group No. ISIS 94-001. University of Notre Dame. 1994. P. 14–18.

7 Imam I.F., Kondratoff Y. Intelligent adaptive agents: a highlight of the AAAI-96 workshop. Artificial Intelligence. 1997. No 18(3). P. 75–80.

8 Hess T.J., Rees L.P., Rakes T.R. Using autonomous software agents to create the next generation of decision support systems. Decision Sciences. 2000. Vol. 31. No 1. P. 1–31.
https://doi.org/10.1111/j.1540-5915.2000.tb00922.x

9 Wooldridge M., Jennings N.R. Intelligent agents: theory and practice. The Knowledge Engineering Review. 1995. Vol. 10. No 2. P. 115–152.
https://doi.org/10.1017/S0269888900008122

10 Intelligent infrastructure for the 21st century. VeriSign, Inc. Mountain View, CA,

11 USA. 22 p. URL: http://complianceandprivacy.com/WhitePapers/VeriSign-Intelligent-Infrastructure-for-the-21syt-Century.pdf

12 Vasilyev S.N. From classical automatic control problems to intelligent control. Theory and Systems of Control. 2001. No 1. pp. 5–22 (in Russian).

13 XII International conference on intelligent systems and control “ISC-2009”. (Cambridge, 2009) URL: http://www.allconferences.com/conferences/2008/ 20081208150054.

14 Pavlov V.V., Pavlova S.V. Intelligent control of complex non-linear dynamic systems: analytics of intelligence. Kiev: Nauk. dumka, 2015. 216 p. (in Russian).

15 Nonaka I., G. von Krogh. Tacit knowledge and knowledge conversion: controversy and advancement in organizational knowledge creation theory. Organization Science. 2009. Vol. 20. No 3. P. 635–652.
https://doi.org/10.1287/orsc.1080.0412

16 Pavlov V.V. Fundamentals of ergatic systems theory. Kiev: Nauk. dumka, 1975. 240 p. (in Russian).

17 Pavlov V.V. Conflicts in engineering systems. Kiev: Vyshcha shkola, 1982. 184 p. (in Russian).

18 Pavlov V.V. Synthesis of strategies in man-machine systems. Kiev: Vyshcha shkola, 1989. 162 p (in Russian).

19 Bibichkov A., Pavlov V., Gricenko V., Gubanov S. “Anticon” — a step for the provision of navigation safety. Navigation. 1999. No 3. pp. 42–43 (in Russian).

20 Method and device for computer networks of control of application processes’ high speed cycles: pat. 83118 Ukaine; reg. 08 Semtember 2006 (in Russian).

Recieved 02.10.2016

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Issue 183, article 5

DOI:https://doi.org/10.15407/kvt183.01.070
Komar Nikolai N., Researcher of Intelligent Control Department of International Research and Training Center for Information Technologies and Systems of National Academy of Sciences of Ukraine and of Ministry of Education and Science of Ukraine, av. Acad. Glushkova, 40, c. Kiev, 03680,
e-mail: komko08@ukr.net

Korshunov Nikolai V., Constructor Engineer of Antonov State Company, Tupolev st., 1, Kiev, 03062,
е-mail: master512@ukr.net

Pavlov Vadim V., Dr. of Engineering, Prof., Head of Intelligent Control Department of International Research and Training Center for Information Technologies and Systems of of National Academy of Sciences of Ukraine and of Ministry of Education and Science of Ukraine, av. Acad. Glushkova, 40, Kiev, 03680,
e-mail:dep185@irtc.org.ua

MODEL OF SPATIAL MOVEMENT OF THE AIRCRAFT FOR THE COMPREHENSIVE SOLUTION OF TASK OF IMPROVING THE QUALITY AND SAFETY OF FLIGHT. Kibernetika i vyčislitel’naâ tehnika, 2016, issue 183, pp. 69-78.

Introduction. The article discusses the question of the necessity to create an aircraft control system having the properties of survivability and fault tolerance.

The purpose of the article is to show the usage of computer modeling as a tool for the achievement of an acceptable level of safety and quality control of the aircraft in various emergency situations related to the impact of external disturbances, faults and their combinations.

Results. The authors proposed the usage of a computer model of the aircraft altitude and velocity control system, developed in the MatLab Simulink with the use of advantages of the combined systems, and the theory of invariance. The model of aircraft movement in the longitudinal plane is created. This model is based on the physical parameters of the aircraft and its aerodynamics and takes into account the effect of the turbulent atmosphere. It is shown that using such model is possible to conduct research for solving problems related to the dynamics of flight.

Conclusion. It is shown that the usage of computer modeling as a tool of mathematical modeling to create adaptive automatic control system is proposed.

Keywords: automatic control system, flight safety, invariance, failure, disturbance, computer model.

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References

  1. Pavlov V.V., Voloshenyuk D.А., Volkov А.Е. Тhe concept of management networkcentric landing planes on the free path of with technology of conflict situations. Kibernetika i vyčislitelʹnaâ tehnika, 2014, №. 178, рр. 36–51 (in Russian).
  2. Nikolaev L.F. Аerodynamics and flight dynamics of transport aircraft. Moscow: Transport, 1990, 392 p. (in Russian).
  3. Pavlov V.V., Kopytova E.A. Distributed compensation scheme of perturbations of dynamical systems. Kibernetika i vyčislitelʹnaâ tehnika, 2012, №. 167, рр. 3–14 (in Russian).
  4. Kublanov M.S. Mathematical modeling of problems of flight operation of the aircraft during takeoff and landing: monograph. Moscow: RIO MGTU GA, 2013, 270 p. (in Russian).
  5. Investigation of the effect of wind shear on the behavior of the aircraft, the possibility of its registration and parry: report. Kazan: Kazan Aviation Institute, 1982, 98 p. (in Russian).
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  7. Stevens B.L., Lewis F.L. Aircraft Control and Simulation. NY: John Wiley & sons, Inc., 2003, 664 p.
  8. Anderson J.D. Introduction To Flight. New York: McGraw-Hill, 1989, 376 p.
  9. Chambers J.R. Modeling flight: the role of dynamically scaled free-flight models in support of NASA’s aerospace programs. National Aeronautics and Space Administration, 2010, 200 p.
  10. Umair A. 3-DOF Longitudinal Flight Simulation Modeling And Design Using MATLAB/SIMULINK: Thesis. Ryerson University, Toronto, Canada, 2012, 54 p.
  11. Pavlov V.V. Invariance and autonomy of nonlinear control systems. Kiev: Nauk. Dumka, 1971, 271 p. (in Russian).
  12. Bodner V.A. Aircraft control systems. Moscow: Mechanical engineering, 1973, 506 p. (in Russian).
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  14. Vorobiev V.G., Kuznetsov S.V. Automatic flight control of aircraft. Moscow. Transport, 1995, 448 p. (in Russian).

Received 10.11.2015

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ISSUE 180, article 5

DOI:https://doi.org/10.15407/kvt180.02.045

Kibern. vyčisl. teh., 2015, Issue 179, pp 45-65.

Pavlov Vadim V., Dr (Engineering), Prof., Head of the Department of Intellectual Control of International Research and Training Center for Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, av. Acad. Glushkova, 40, Kiev, 03187, Ukraine, e-mail: dep185@irtc.org.ua

Volkov Aleksandr E., PG (Postgraduate) of the Department of Intellectual Control of International Research and Training Center for Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, av. Acad. Glushkova, 40, Kiev, 03187, Ukraine, e-mail: alexvolk@ukr.net

Voloshenyuk Dmitrii A., PG (Postgraduate) of the Department of Intellectual Control of International Research and Training Center for Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, av. Acad. Glushkova, 40, Kiev, 03187, Ukraine, e-mail: P-h-o-e-n-i-x@ukr.net

INVARIANT NET-CENTRIC CONTROL SYSTEM FOR CONFLICT AVOIDANCE OF AIRCRAFTS IN THE LANDING PHASE

Introduction. The question of the need to create a control system of conflict situations between the aircrafts in the landing phase is discusses.

The purpose of this research is to create a method and system of conflict resolution between the aircrafts on the route of flight, takeoff and landing phases with the condition to provide a high and guaranteed level of flight safety. The approach considered in the article will be based on the principles of using the network-centric technologies and the theory of invariance.

Results. The expected result of this work is the creation of a new universal control system of conflict situations between the aircrafts based on network-centric technologies and principles of the theory of invariance, which will meet all the requirements of modern air traffic management (ATM) to provide a guaranteed level of safety.

Conclusion. It is shown that a new approach to the problem of creating a control system of conflict situations between the aircrafts based on research in the field of differential games and the theory of invariance is effective.

Keywords: net-centric system, flight safety, invariance, conflict situations, differential games, free flight.

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References

  1. Eurocontrol. Airspace Strategy for the ECAC States. ІСАО: 2001, 91 p. (in Russian).
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  11. Pavlov V.V. The conflicts in technical systems. Кiev: Vyscha shkola, 1982, 183 p. (in Russian).
  12. Kuntsevich V.M. Optimal control of convergence of conflicting moving objects under uncertainty. Cybernetics and systems analysis, 2002, no. 2, pp. 95–104 (in Russian).
  13. Zolotuhin V.V. Some actual problems of air traffic control. Proceedings of MFTI, 2009, no. 3, pp. 94–114 (in Russian).
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Received 23.02.2015