STOCHASTIC CONTROL INFORMATION SYSTEMS THE AVIATION GAS TURBINE ENGINE

Authors

  • Serhii Tovkach National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.80.14269

Keywords:

, self-tuning, gas turbine engine, stochastic processes, sequence net request

Abstract

Development of a robust system for the detection of self-tuning parameter regulator in automatic control system gas turbine engines (ACS GTE) will benefit both military and civil aviation through improved aircraft reliability and maintainability. Presented is a gas turbine engine stochastic information system that integrates information from various advanced control analysis techniques to achieve robust self-tuning loop awareness. This paper presents the computational techniques for identifying the accurate sequence parameter regulator by using: firstly, the Lyapunov function application with the performance analyzer for ensuring the stability of optimization processes; secondly, the Wiener-Hoph function application with the white noise generator (random processes) for defining the intensity and impulse transition function of the signal, as a result, accurate set up of the aviation engine control unit. The main control loop is represented by a transfer function of the object and the regulator, their self-tuning models, criteria for setting regulator parameters and sensitive function. An important feature of the information system GTE is the presence of heterogenous hardware and software, which is often associated with a long period of taking system into operation, it is necessary to use the portable serving device and request host for satisfying the requirements of the correct engine operation.

Author Biography

Serhii Tovkach, National Aviation University

Cand. of Science (Engineering), Associate Professor. Associate Professor Automation & Power Management Department of Aerospace faculty of the National Aviation University. Education: Bohdan Khmelnytsky National University of Cherkasy, Cherkasy, Ukraine (2011) Research area: automatic control systems and diagnostics systems of aircraft using wavelet analysis.

References

CIAM – Central Institute of Aviation Motors named after I. P. Baranov. Access mode: http://www.ciam.ru/.

Andrew S. Tanenbaum, “Distributed Systems: principles and paradigms,” CreateSpace Independent Publishing Platform, 2016, 702 p. ISBN-13: 978-1530281756.

O. S. Gurevich, “Automatic control systems of aviation gas turbine engines,” Toru Press, Мoscow, 2010, 264 p. (in Russian). ISBN: 978-5-94588-090-0.

V.V. Lypaev, “System design of complex software tools for information systems”, Synteg, Moscow, 1999. – 140 p. (in Russian). ISBN 5-89638-019-4.

A. Tanenbaum, M. van Steen. “Distributed Systems. Principles and Paradigms”, SPb, Petersburg, 2003. – 877 p. (in Russian). ISBN 5–272–00053–6.

Laine Campbell, “Database Reliability Engineering: Designing and Operating Resilient Database Systems,” O'Reilly Media, 2017, 294 p. ISBN-13: 978-1491925942.

S. S. Tovkach, “Self-similarity of Operating Modes of Aviation Engine with the use of Wireless Data Transmission,” Advances in Science and Technology Research Journal, 2019, 13(2), pp. 176–185. DOI: 10.12913/22998624/105887.

Sergei Silvestrov, Anatoliy Malyarenko, Milica Rancic, "Stochastic Processes and Applications, SPAS2017, Västerås and Stockholm, Sweden, October 4-6, 2017. https://doi.org/10.1007/978-3-030-02825-1

Joaquim Rodrigo Oliveira, Antônio Sérgio Coelho, Stéfano Frizzo Stefenon, Cristina Keiko Yamaguchi, “Stochastic approach - markov chain applied to the analysis and project of the information systems oriented to object”, International Journal of Development Research, 2017, 07(06), pp. 13139-13143. DOI: 10.5281/zenodo.883855.

S.S. Tovkach, “Wireless technology exchange for information in adaptive systems of aviation engines”, Engine Bulletin, 2017, Issue 2, pp. 24-28. Access mode: http://nbuv.gov.ua/UJRN/vidv_2017_2_6. (in Ukrainian).

Published

11-12-2019

How to Cite

Tovkach, S. (2019). STOCHASTIC CONTROL INFORMATION SYSTEMS THE AVIATION GAS TURBINE ENGINE. Proceedings of National Aviation University, 80(3), 21–29. https://doi.org/10.18372/2306-1472.80.14269

Issue

Section

AEROSPACE SYSTEMS FOR MONITORING AND CONTROL