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Tytuł artykułu

Longitudinal flight stability control during changing the sweep-back angle of wing by neural fuzzy-control

Autorzy
Identyfikatory
Warianty tytułu
Konferencja
Awionika / Konferencja (III; 2001; Waplewo, Polska)
Języki publikacji
EN
Abstrakty
EN
The stability along the three axis depends on the position of gravity centre and aerodynamic lift centre, the sweep-back angle, the temporary incidence angle of aircraft, the angle of bank, the flight speed, the altitude, the thrust power, the construction, etc. This paper includes an analysis of longitudinal stability control focused on the effects of changing sweep-back angle of wing. The applied analytic method is the catastrophe theory by Thom, which provides opportunity to realize a real-time control of longitudinal stability during the move of wings. Thom's theory is a powerful tool to describe by mathematical equations the influences of changing the sweep-back angle of wing. As these influences are changing quickly and flight situation is affected by other parameters too, so a neural control system could supervise all the effects and their causalities. The control system based on neural network can be used for communication between the different sections of aircraft. All the elementary neurons are composed into a communication system. Stability control might be made either by the pilot or the fuzzy-control. The task of fuzzy-control is to choice the suitable parameters and to modify it for setting the stability of flight.
Rocznik
Strony
95--101
Opis fizyczny
Bibliogr. 6 poz., rys., wykr.
Twórcy
autor
  • College of Nyíregyháza, Technical and Agricultural Faculty, Department of Electrotechnics and Automation, Nyíregyháza, Sóstói u. 31/b, 4401-Hungary
Bibliografia
  • 1. Ganong W.F.: Review of medical physiology, Budapest, 1990. Medicina.
  • 2. Jobbik I.: Korszeru repulogepek aerodinamikai jellemzoi (Aerodinamic Features of Modern Aircrafts), 1982.
  • 3. Kuki A. – Falucskai J. – Tarnay K.: Bevezetes a formalis nyelvek es automatak alkalmazasaba. (INtroduction of formal languages and finite-state mechines), Scientific Body of Szabolcs-Szatmar-Bereg County of Hungarian Academy of Sciences, Nyiregyhaza, 1993.
  • 4. Ormos L. - Tarnay K.: Formal description of function and operation of artificial intelligence in the natural environment, COMBIO’94 Symposium on the computational modelling in biosciences (Proceedings), p. 198-210, Nyiregyhaza, 1994.
  • 5. Ormos L.:A model of neuron for artificial intelligence used in the natural environment, COMBIO’95 Symposium on the computational modelling in biosciences (Proceedings), p. N.3-N.5, Kecskemet, 1995.
  • 6. Poston T., Stewart J.: Katasztrofaelmelet es alkalmazasai (Catastrophe Theory and its Applications), Muszaki Konyvkiado, Budapest, 1985.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA9-0003-0010
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