Acta Mechanica Slovaca 2009, 13(3):62-73 | DOI: 10.2478/v10147-010-0048-7

Turbojet Engines - Progressive Methods of Modeling

Ladislav Madarász, Rudolf Andoga, Ladislav Főző

Small turbojet engines represent a special class of turbine driven engines. They are suitable for scientific purposes and research of certain thermodynamic processes ongoing in turbojet engines. Moreover such engines can be used for research in the area of alternative fuels and new methods of digital control and measurement. Our research, which is also presented in this article, is headed toward these aims. We evaluate and propose a system of digital measurement of a particular small turbojet engine - MPM 20. Such engine can be considered as highly non-linear large scale system. According to obtained data and experiments we propose different approaches to modeling of the engine with use of analytic experimental and certain methods of artificial intelligence as new methods of modeling of complex systems.

Keywords: small turbojet engine, analytic models, experimental identification, situational modeling, situational control

Published: October 31, 2009  Show citation

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Madarász, L., Andoga, R., & Főző, L. (2009). Turbojet Engines - Progressive Methods of Modeling. Acta Mechanica Slovaca, 13(3), 62-73. doi: 10.2478/v10147-010-0048-7
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    References

    1. Andoga R., Hybrid methods of situational control of complex systems, Dissertation Thesis, Technical University of Koąice, 2006, 120 p.
    2. Andoga R., Madarász L., Főző L., Situational modeling and control of a small turbojet engine MPM 20, IEEE International Conference on Computational Cybernetics, Tallinn, Estonia, August 2006, p. 81-85, ISBN 1-4244-0071-6. Go to original source...
    3. Beneą J., Teorie systémů (řízení komplexů), Academia, nakladatelství ČSAV, 1974, 200 p.
    4. Főző L., Use of mathematical model of steady and nonsteady operation of MPM20 turbojet engine by design of anytime control algorithms (in Slovak), Dissertation thesis, Dept. of Cybernetics and AI, Faculty of Electrical Engineerin and Informatics, Technical University of Koąice, Slovakia, september 2008, 144 p.
    5. Harris Ch., Hong X., Gan Q., Adaptive Modelling, Estimation and Fusion from Data, Springer, 2006, 323 p., ISBN 3-540-42686-8.
    6. Hocko M., Hodnotenie stavu LTKM na základe zmeny termodynamických parametrov, Dissertation thesis, Vojenská Akadémia Gen. M.R. ©tefánika, Koąice, 2003.
    7. Horváth L., Rudas I.J., Modeling and Problem Solving Methods for Engineers, Elsevier, Academic Press, 2004, ISBN 0-12-602250-X.
    8. Horváth L., Rudas I.J., Intelligent Engineering Modeling by Active Models, In Intelligent Systems at the Service of Mankind, vol. 1, 2004, p. 363-371.
    9. Lazar T., Adamčík F., Grega M., Kováčik P., Klecun R., Martinec F., Sopata M., Tendencie vývoja a modelovania avionických systémov, Bratislava, 2000, 160 p., ISBN 80-8842-26-3.
    10. Madarász L., Inteligentné technológie a ich aplikácie v zloľitých systémoch, Elfa, TU Koąice, 2004, 349 p., ISBN 80-89066-75-5.
    11. Madarász L., Metodika situačného riadenia a jej aplikácie, Elfa, Koąice, 1996, 212 p., ISBN 80-88786-66-5.
    12. Madarász L., Andoga R., Development and Perspectives of the Situational Control of the Complex Systems, Proceedings of the microCAD2004 International Scientific Conference, University of Miskolc, Hungary, March 2004, p. 73-80, ISBN 963-661-615-9.
    13. Madarász L., Andoga R., The Proposal of use of Hybrid Systems in Situational Control of Jet Turbo-compressor Engines, In Proceeding of SAMI 2005 Conference, Slovakia, January 2005, p. 93-106, ISBN 963-7154-35-3.
    14. Madarász L., Holečko P., Methodology of Situational Control Creation and its Applications, 1st IFACWorkshop, New Trends in Design of Control Systems, Smolenice, 1994, p. 155-162.
    15. Moller M.F., A scaled conjugate gradient algorithm for fast supervised learning, Neural Networks, vol. 6, 1993, p. 525-533. Go to original source...
    16. Pospelov D.A., Situacionnoje upravlenije, Teoria i praks, Nauka, Moskva, 1986, 284 p.
    17. Růľek J., Kmoch P., Teorie leteckých motorů I., 1979, 373 p.
    18. Růľek J., Kmoch P., Teorie leteckých motorů II., VA AZ, 1983.
    19. Shing J., Jang R., IEEE Transactions on System, Man and Cybernetics vol. 23, no. 3, may / june 1993.
    20. Zilberstein S., Using Anytime Algorithms in Inteligent Systems, AI Magazine, vol. 17, no. 3, 1996, p. 73-83.

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