PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Different defuzzification methods in Guimbal Cabri G2 helicopter takeoff possibility evaluation

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article discusses the aerodynamic properties of the Guimbal Cabri G2 helicopter. The main considerations concern the helicopters ascending to the altitude under initial conditions, which were assumed in the project and how the change of the defuzzification method affects the work of the fuzzy controller. The authors analyzed the following: the aircraft, the crew and the payload. The authors assessed the altitude and the minimum time of the helicopter climb. In designing and the work simulation process, the authors used Matlab and Simulink software. A comparison of the influence of selected defuzzification methods on the work of the fuzzy controller was made.
Czasopismo
Rocznik
Strony
27--38
Opis fizyczny
Bibliogr. 19 poz.
Twórcy
autor
  • Dęblin Air Force Academy, Department of Aviation 303 Dywizjon Street, no. 35, 08-521, Dęblin, Poland
autor
  • Dęblin Air Force Academy, Department of Aviation 303 Dywizjon Street, no. 35, 08-521, Dęblin, Poland
autor
  • Dęblin Air Force Academy, Department of Aviation 303 Dywizjon Street, no. 35, 08-521, Dęblin, Poland
autor
  • Dęblin Air Force Academy, Department of Aviation 303 Dywizjon Street, no. 35, 08-521, Dęblin, Poland
Bibliografia
  • 1. Cabri G2 Flight Manual, EASA Type certificate No R.145. Guimbal AIX-EN-PROVENCE, FRANCE.
  • 2. Bronowicz, J. Podstawy aerodynamiki śmigłowca. Świdnik, 1995. [In Polish: Basics of helicopter aerodynamics].
  • 3. Grzesik, N. Podstawy sterowania rozmytego. Dęblin. WSOSP. 2012. ISBN 978-83-60908-73-0. [In Polish: Basics of fuzzy control].
  • 4. Laskowski, R. Osiągi, wyważenie i planowanie lotu. Szkolenie samolotowe EASA. PILEUS. Styczeń, 2014. ISBN 978-83-937468-0-4. [In Polish: Performance, balance and flight planning. EASA aircraft training].
  • 5. Anderson, G. Applying fuzzy logic in the real world. Reprinted with permission of Sensor magazine. Helmers Publishing. Inc. 1992. Available at: http://www.sensormag.com
  • 6. Doitsidis, L. & Valavanis, K.P. & Tsourveloudis, N.C. & Kontitsis, M. A framework for fuzzy logic based UAV navigation and control. In: Robotics and Automation. Proceedings. ICRA '04, Vol. 4. 2004.
  • 7. Jasztal, M. & Żurek, J. & Tomaszek, H. Prognozowanie uszkodzeń zagrażających bezpieczeństwu lotów statków powietrznych. ITE Radom. 2008. [In Polish: Forecasting damages that threaten the safety of aircraft flights].
  • 8. Luo, J. & Lan, E. Fuzzy Logic Controllers for Aircraft Flight Control. Fuzzy Logic and Intelligent Systems International Series in Intelligent Technologies. 1995. Vol. 3. P. 85-124.
  • 9. Kacprzyk, J. & Yager, R.R. Emergency-Oriented expert systems: A fuzzy approach. Information Sciences. December, 1985. Vol. 37. Nos. 1–3. P. 143–155.
  • 10. Kadmiry, B. & Driankov, D. Fuzzy control of an autonomous helicopter. In: IFSA World Congress and 20th NAFIPS International Conference. 2001.
  • 11. Nho, K. & Agarwal, R.K. Automatic Landing System Design Using Fuzzy Logic. Journal of Guidance, Control, and Dynamics. 2000. Vol. 23. No. 2. P. 298-304.
  • 12. Lower, M. & Magott, J. & Skorupski, J. Analiza incydentów lotniczych z zastosowaniem zbiorów rozmytych. Prace naukowe Politechniki Warszawskiej. Transport. 2013. No. 100. P. 131-144. [In Polish: Analysis of aviation incidents using fuzzy sets. Scientific work of the Warsaw University of Technology. Transport].
  • 13. Hadjimichael, M. A fuzzy expert system for aviation risk assessment. Expert Systems with Applications. 2009. Vol. 36. No. 3. Part 2. P. 6512-6519.
  • 14. Wahid, N. & Rahmat, M.F. Pitch Control System Using LQR and Fuzzy Controller. In: IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010). Penang, Malaysia. 2010. P. 389-394.
  • 15. Demirci S. & Hajiyev, CH & Schwenke, A. Fuzzy logic based automated engine health monitoring for commercial aircraft. Aircraft Engineering and Aerospace Technology. 2008. Vol. 80. No. 5. P. 516-525.
  • 16. Chaudhari, S. & Patil, M. Study and Review of Fuzzy Inference Systems for Decision Making and Control. American International Journal of Research in Science, Technology, Engineering & Mathematics. December 2013-February 2014. Vol. 5(1). P. 88-92.
  • 17. Tanaka, K. & Ohtake, H. & Wang, H.O. A practical design approach to stabilization of a 3-DOF RC helicopter. IEEE transactions on control systems technology. 2004. Vol. 12(2). P. 315-325.
  • 18. Usta, M.A. & Akyazi, O. & Akpinar, A.S. Aircraft roll control system using LQR and fuzzy logic controller. Innovations in Intelligent Systems and Applications (INISTA). 2011. DOI: 10.1109/INISTA.2011.5946069.
  • 19. Żurek, J. & Grzesik, N. Fuzzy expert aircraft onboard control systems assistant. Safety reliability and risk analysis: Beyond the horizon. ESREL conference proceedings. London: Taylor & Francis Group. 2013. P. 250-251.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ed831ba4-a8cf-4cb7-8f1d-b86c521d5370
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.