Using fuzzy logic expert system for the estimation of the probability of armour penetration by PGU-14 shells fired from the GAU-8/A CA

• Autorzy: Opala P. , Grzesik N. , Kuźma K.

Identyfikatory

DOI

10.5604/01.3001.0010.3131

• Języki publikacji: EN

Abstrakty

EN

The article discusses the possibility of armour penetration by PGU 14 API shells fired from the GAU-8/A cannon. The considerations focus on questions with regard to the probability of armour penetration with the initially established conditions in the project. In the analysis, the authors took into account three parameters: armour thickness, armour slope and target distance. Based on the initial parameters, the authors estimated the probability of armour penetration. The designed a fuzzy expert system in the MATLAB software as well as conducting simulation of its performance in the Simulink programmes. The authors presented the performance of the system based on twenty samples for research, which simulate different thickness of the target armour, different distance from the target and different slope of the armour. The authors presented control surfaces, due to which it is possible to analyse the system performance. They also show the simulation process in the Simulink software package with the preset values. On the basis of the created controller, it is clear that a well-developed system, which had undergone testing and optimization, is capable of calculating near reality probability values. The designed system might improve fire effectiveness of ground targets during air training and combat tasks, as well as optimizing the consumption of air-to-ground armour piercing (AP) shells.

Słowa kluczowe

EN

fuzzy logic; fuzzy expert system; armour penetration; GAU-8/A cannon; PGU 14 API shells

• 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: 2017
• Tom: Vol. 24, No. 4
• Strony: 211--218
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Opala P.

• Air Force Academy in Deblin, Department of Aviation Dywizjonu 303 Street 35, 08-521 Deblin, Poland tel.: [phone], fax: [phone]

autor

Grzesik N.

• Air Force Academy in Deblin, Department of Aviation Dywizjonu 303 Street 35, 08-521 Deblin, Poland tel.: [phone], fax: [phone]

autor

Kuźma K.

• Air Force Academy in Deblin, Department of Aviation Dywizjonu 303 Street 35, 08-521 Deblin, Poland tel.: [phone], fax: [phone]

Bibliografia

• [1] Anderson, G., Applying fuzzy logic in the real world. Reprinted with permission of Sensor magazine (www.sensormag.com), Helmers Publishing. Inc. 1992.
• [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, Expert Systems with Applications, Vol. 37, pp. 627-639, 2010.
• [3] Grzesik, N., Podstawy sterowania rozmytego, WSOSP, Deblin 2012.
• [4] Kacprzyk, J., Yager, R. R., Emergency-Oriented expert systems: a fuzzy approach. Information Sciences, Vol. 37, Iss. 1-3, pp. 143-155, Elsevier 1985.
• [5] Pedrycz, W., Fuzzy multimodels, IEEE Transactions on Fuzzy Systems. Vol. 4. No. 2, pp. 139-148, 1996.
• [6] Piegat, A., Modelowanie i sterowanie rozmyte, Akademicka Oficyna Wydawnicza EXIT, Warszawa 1999.
• [7] Zecevic, B., Terzic, J., Catovic, A., Serdarevic-Kadic, S., Dispersion of PGU-14 ammunition during air strikes by combat aircraft A-10 near urban areas, 13th Seminar New Trends in Research of Energetic Materials, Part II, pp. 797-814, Pardubice 2010.
• [8] 30 mm GAU-8/A ammunition, https://www.orbitalatk.com/defense-systems/armament-systems/ 30 mm/docs/GAU-8A_Fact_Sheet.pdf (access 24.03.2017).
• [9] A-10/OA-10 Thunderbolt, http://www.globalsecurity.org/military/systems/aircraft/a-10-history.htm (access 24.03.2017).
• [10] Firepower of the A-10, https://web.archive.org/web/20030415000511/http://members.aol.com /Stravonski/private/gun.html (access 24.03.2017).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).