Selected Aircraft Throttle Controller With Support Of Fuzzy Expert Inference System

Józef Żurek 1 , Norbert Grzesik 2 ,  and Jakub Kurpas 3
  • 1 Air Force Institute of Technology in Warsaw
  • 2 Aviation Faculty, Polish Air Force Academy in Dęblin
  • 3 First Officer in Enterair Airlines

Abstract

The paper describes Zlin 143Lsi aircraft engine work parameters control support method – hourly fuel flow as a main factor under consideration. The method concerns project of aircraft throttle control support system with use of fuzzy logic (fuzzy inference). The primary purpose of the system is aircraft performance optimization, reducing flight cost at the same time and support proper aircraft engine maintenance. Matlab Software and Fuzzy Logic Toolbox were used in the project. Work of the system is presented with use of twenty test samples, five of them are presented graphically. In addition, system control surface, included in the paper, supports system all work range analysis.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • [1] Aircraft General Knowledge, Powerplant, Nordian ISBN: 978-82-8107-107-9.

  • [2] Azadeh A.; Ebrahimipour V.; Bavar P.: A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry. University of Teheran 2009.

  • [3] Grzesik N.: Podstawy sterowania rozmytego. WSOSP. Dęblin 2012.

  • [4] Mrozek B.; Mrozek Z.: Matlab 6 - Poradnik użytkowania. Wydawnictwo PLJ. Warszawa 2001.

  • [5] Piegat A.: Modelowanie i sterowanie rozmyte. Akademicka Oficyna Wydawnicza. Warszawa 1999.

  • [6] Sergaki A.; Kalaitzakis K.: A fuzzy knowledge based method for maintenance planning in a power system. Technical University of Crete 2001.

  • [7] Yager R.; Filev D.: Podstawy modelowania i sterowania rozmytego. WNT. Warszawa 1995.

  • [8] Zadeh L.: Fuzzy Sets. Information and Control Vol.8. 1965.

  • [9] Zlin 143 Lsi Manual, Serial Si005.012.G.

OPEN ACCESS

Journal + Issues

Search