The use of fuzzy expert system for an automatic control of the propulsion system in the aircraft ZLIN 143LSi

• Autorzy: Krok B. , Grzesik N. , Kuźma K.

Identyfikatory

DOI

10.5604/01.3001.0012.4346

• Języki publikacji: EN

Abstrakty

EN

The article discusses the manner of controlling the propulsion system in the aircraft Zlin 143LSi, which is equipped with a piston engine driving a variable-pitch propeller. All the operating procedures are carried out manually by the pilot in accordance with the flight manual. The authors attempted at developing the project of a controller based on fuzzy logic, whose main goal was automating the control system of the propulsion unit, thus lowering the level of difficulty of pilotage, and increasing the economics of the operation. The project was made in an interactive environment FuzzyLogic Toolbox of the MATLAB programme. In the analysis, three input parameters were taken into account, exerting an impact on changing the rotational speed of the propeller: the charging pressure of the propulsion unit expressed in inches of mercury, the speed of the aircraft (TAS) in knots and the angle of attack, at which the flight is made, expressed in degrees. On the basis of the above-mentioned input signals, the rotation speed of the propeller was determined, by changing the blade pitch and the recommended angle of attack for the parameters in order to make an optimal use of the data of the flight conditions. The article presents the project of the controller and its optimization. The authors simulated the controller operation in the package MATLAB “Simulink”. The article ends with data analysis and final conclusions.

Słowa kluczowe

EN

fuzzy logic; fuzzy expert system; propulsion system; aircraft Zlin 143LSi

• Wydawca: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2018
• Tom: Vol. 25, No. 3
• Strony: 307--314
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Krok B.

• Air Force Academy in Deblin Faculty of Aeronautics Dywizjonu 303 Street 35, 08-521 Deblin, Poland

autor

Grzesik N.

• Air Force Academy in Deblin Faculty of Aeronautics Dywizjonu 303 Street 35, 08-521 Deblin, Poland

autor

Kuźma K.

• Air Force Academy in Deblin Faculty of Aeronautics Dywizjonu 303 Street 35, 08-521 Deblin, Poland

Bibliografia

• [1] Airplane Flight Manual Zlin 143 LSi, Otrokovice 2004.
• [2] Anderson, G., Applying fuzzy logic in the real world, Reprinted with permission of Sensor magazine (www.sensormag.com), Helmers Publishing. Inc., 1992.
• [3] Azadeh, A., Ebrahimipour, V., Bavar, P. A., Fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry, Expert Systems with Applications, Vol. 37, pp. 627-639, 2010.
• [4] Illustraded parts catalog Z 143LSi, Otrokovice 1999.
• [5] Grzesik, N., Podstawy sterowania rozmytego, WSOSP, Deblin 2012.
• [6] Kacprzyk, J., Yager, R. R., Emergency-Oriented expert systems: a fuzzy approach, Information Sciences, Vol. 37, Iss. 1-3, pp. 143-155, Elsevier 1985.
• [7] Pedrycz, W., Fuzzy multimodels, IEEE Transactions on Fuzzy Systems, Vol. 4, No. 2, pp. 139-148, 1996.
• [8] Żurek, J., Grzesik, N., Kurpas, J., Selected aircraft throttle controller with support of fuzzy expert inference system, Journal of KONBiN, 2 (30), 2014.
• [9] www.zlinaircraft.eu, available 03.04.2018.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).