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METHODOLOGY AND RESULTS OF MOBILE OBJECT PURSUIT PROBLEM SOLUTION WITH TWO-STAGE DYNAMIC SYSTEM

Abstract

The experience of developing unmanned fighting vehicles indicates that the main challenge in this field reduces itself to creating the systems which can replace the pilot both as a sensor and as the operator of the flight. This problem can be partial- ly solved by introducing remote control, but there are certain flight segments where it can only be executed under fully inde- pendent control and data support due to various reasons, such as tight time, short duration, lack of robust communication, etc. Such stages also include close-range air combat maneuvering (CRACM) - a key flight segment as far as the fighter's purpose is concerned, which also places the highest demands on the fighter's design. Until recently the creation of an unmanned fighter airplane has been a fundamentally impossible task due to the absence of sensors able to provide the necessary data support to control the fighter during CRACM. However, the development prospects of aircraft hardware (passive type flush antennae, op- tico-locating panoramic view stations) are indicative of producing possible solutions to this problem in the nearest future. There- fore, presently the only fundamental impediment on the way to developing an unmanned fighting aircraft is the problem of cre- ating algorithms for automatic trajectory control during CRACM. This paper presents the strategy of automatic trajectory con- trol synthesis by a two-stage dynamic system aiming to reach the conditions specified with respect to an object in pursuit. It contains certain results of control algorithm parameters impact assessment in regards to the pursuit mission effectiveness. Based on the obtained results a deduction is drawn pertaining to the efficiency of the offered method and its possible utilization in au- tomated control of an unmanned fighting aerial vehicle as well as organizing group interaction during CRACM.

About the Author

M. A. Kiselev
State Research Institute of Aviation Systems
Russian Federation

Doctor of Technical Sciences, Professor, Chief Researcher,

Moscow



References

1. Levitskij S.V. Sistemnyj analiz blizhnego vozdushnogo boja dlja razrabotki bazy znanij bortovoj operativno-sovetujushhej jekspertnoj sistemy [System analysis of close air combat for the development of the knowledge base of an onboard operative-advising expert system]. Izv. RAN. TiSU, 2002, no. 6, pp. 73–85.

2. Levitskij S.V. Sistemnyj analiz blizhnego vozdushnogo boja i algoritmicheskoe obespechenie bortovoj sistemy informacionnoj podderzhki takticheskih reshenij letchika [System analysis of close air combat and algorithmic support of on-board system of information support of tactical decisions pilot]. Informatsionno-izmeritelnye i upravlyayushchie sistemy, 2006, no. 8, vol. 4, pp. 36–55.

3. Levitskij S.V., Matveev A.I., Sandler G.A. Optimizatsiya strategii funktsionirovaniya samoletov-istrebiteley v vozdushnom boyu [Optimizing the strategy of functioning of a fighter aircraft in air combat]. Izv. RAN. TiSU, 2003, no. 3, pp. 103–113.

4. Fedunov B.E. Bortovye intellektual'nye sistemy sistemoobrazujushhego jadra sovremennyh samoletov [Boarding Intellectual Systems of Systemgenerator Nucleus of Modem Aircrafts]. Mekhatronika, avtomatizatsiya, upravleniye, 2006, no. 1. pp. 24–29.

5. Fedunov B.E. Bortovye operativno-sovetujushhie jekspertnye sistemy dlja antropocentricheskih ob'ektov [Onboard online advisory expert systems for anthropocentric objects]. Izv. RAN. TiSU, 2003, no. 6, pp. 145–152.

6. Fedunov B.E. Informatsionno-izmeritel'nyye i upravlyayushchiye sistemy [The intellectual «tactical» systems in the generating core of the complex technical object]. Informatsionnoizmeritel'nyye i upravlyayushchiye sistemy, 2013, vol. 11, no. 6, pp. 46–54.

7. Fedosov E.A. Aviatsiya PVO Rossii i nauchno-tekhnicheskiy progress: boevye kompleksy i sistemy vchera, segodnya, zavtra [The air defense of Russia and the scientific-technical pro-gress: combat systems and system yesterday, today, tomorrow]. Moscow: Drofa, 2004, 816 p.

8. Khripunov S.P. Raspoznavanie takticheskikh situatsiy v vozdushnom boyu s ispol'zovaniem metodov iskusstvennogo intellekta [Recognition of tactical situations in a dogfight with the use of artificial intelligence methods]. Informatsionno-izmeritelnye i upravlyayushchie sistemy, 2006, vol. 4, no. 8, pp. 26–35.

9. Kiselev M.A. Algoritm avtomatizatsii razvorota samoleta, vypolnyaemogo s maksimal'noy uglovoy skorost'yu [An algorithm of an aircraft turn executed with maximum angular velocity]. Izv. RAN. TiSU, 2007, no. 5, pp. 150–160.

10. Kiselev, M.A., Kostin A.M., Tyumenev V.R. O vliyanii nachal'nykh i konechnykh usloviy na optimal'nyye parametry razvorota, vypolnyayemogo s maksimal'noy uglovoy skorost'yu [The effect of the initial and final conditions on the optimal rotation parameters, performed with the maximum angular velocity]. Scientific Bulletin of the MSTUCA, 2008, no. 125, pp. 130–138.


Review

For citations:


Kiselev M.A. METHODOLOGY AND RESULTS OF MOBILE OBJECT PURSUIT PROBLEM SOLUTION WITH TWO-STAGE DYNAMIC SYSTEM. Civil Aviation High Technologies. 2017;20(2):57-64. (In Russ.)

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ISSN 2079-0619 (Print)
ISSN 2542-0119 (Online)