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Wireless-based technology for optimizing of operation of the aviation engine control system

    Serhii Tovkach   Affiliation

Abstract

An approach for improving of efficiency the operation of distributed control system of aviation engine based on wireless technology with high productivity and resolution of wave distributed surface has been presented. It can be applied for development of new principles of correct location the nodes, including the data processing equipment, the intellectual sensors, actuators, repeaters, central units in adaptive control strategies of aviation engine. The optimization method for processing information, using adaptive wavelet filters, as an optimal filter, that minimizes the average square of a common error for organizing the connection between wireless elements in the control systems of aviation gas turbine engine, has been considered, on the theoretical point of view. Also, the wavelets applications in the Wireless Distributed Automatic Control System (WDACS) for aviation engine, the requirements for the construction of its node, supported by the protocol stack, the scheme and the programs with a combination of connections the information exchange between elements have been considered, from the practical point of view.

Keyword : aviation, engine, distributed system, wireless, wavelet filter, threshold, subband coding

How to Cite
[1]
Tovkach, S. 2021. Wireless-based technology for optimizing of operation of the aviation engine control system. Aviation. 25, 1 (Apr. 2021), 35-40. DOI:https://doi.org/10.3846/aviation.2021.13828.
Published in Issue
Apr 7, 2021
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Antonov, A. O., Trofimenko, R. A., & Yatsko, L. L. (2013). Modern methods of control and diagnostics of aircraft gas turbine engine. Aerospace Technic and Technology, 10, 141–145 (in Russian). http://nbuv.gov.ua/UJRN/aktit_2013_10_27

Ashok, B., Ashok, S. D., & Kumar, C. R. (2016). A review on control system architecture of a SI engine management system. Annual Reviews in Control, 41, 94–118. https://doi.org/10.1016/j.arcontrol.2016.04.005

Bazhenov, Y. V., & Kalenov, V. P. (2017). The forecasting of the residual resource of electronic engine control system. The Russian Automobile and Highway Industry Journal, 2(54), 52–59. https://doi.org/10.26518/2071-7296-2017-2(54)-52-59

Bieniek, A. (2011). Advanced nonroad diesel engine control system. Machine Design, 3(3), 167–172.

Bjorkbom, M., Nethi, Sh., & Eriksson, L. M. (2011). Wireless control system design and co-simulation. Control Engineering Practise, 19(9), 1075–1086. https://doi.org/10.1016/j.conengprac.2011.05.012

Bradley, N., Karipott, S. S., Wang, Y, & Ong, K. G. (2020). Wireless technologies for implantable devices. Sensors, 20(16), 4604. https://doi.org/10.3390/s20164604

Calvo, I., Abrahams, S., Barambones, O., & Quesada, J. (2020). A comparison of wired and wireless technologies for control applications. In Proceedings of the XXXIX Journadas de Automatica, Badajoz (pp. 538–545). https://doi.org/10.17979/spudc.9788497497565.0538

Chilupuri, A. (2018). Automation in wireless control system: a small review study of automation of water motor using Zig-Bee. International Journal for Research in Applied Science & Engineering Technology, 6(4), 512–514. https://doi.org/10.22214/ijraset.2018.4089

Cunha, J. P. P., Cardeira, C., Batista, N. C., & Melicio, R. (2016). Wireless technologies for controlling a traffic lights prototype [Conference presentation]. IEEE International Power Electronics and Motion Control Conference, Vama, Bulgaria (pp. 858–863). https://doi.org/10.1109/EPEPEMC.2016.7752108

Dias, B. M. de A., Lagana, A. M. A., J. F. Justo, Yoshioka, L. R., Santos, M. M. D., & Gu, Z. (2018). Model-based development of an engine control module for a spark ignition engine. IEEE Access, 6, 1–12. https://doi.org/10.1109/ACCESS.2018.2870061

EUROCAE. (2020). Standarts for future aviation. https://www.eurocae.net/

Gurevich, O. S. (2010). Automatic control systems of aviation gas turbine engine (264 p.). Toru Press (in Russian).

Hassan, S. M. (2017). Application of wireless technology for control: a wireless HART perspective. Procedia Computer Science, 105, 240–247. https://doi.org/10.1016/j.procs.2017.01.217

Oliveira, J., Coelho, A., Stefenon, S., & Yamaguchi, Cr. (2017). Stochastic approach is Markov chain applied to the analysis and project of the information systems oriented to object. International Journal of Development Research, 07(06), 13139–13143.

Securaplane Technology Inc. (2019). Wireless technology intraaircraft wireless data bus for essential and critical applications. https://www.securaplane.com/

Sternberg, S. (2019). A mathematical companion to quantum mechanics (336 p.). Dover Publications.

Tanenbaum, A. (2016). Distributed systems: principles and paradigms (702 p.). CreateSpace Independent Publishing Platform.

Tech Briefs. (2020). Radio-frequency wireless flight-control system. https://www.techbriefs.com/

Tovkach, S. S. (2020). The Liebman process for distribution of the information flows of the engine automatic control system. Journal of Nano- and Electronic Physics, 1(12), 01003(1)–01003(5). https://doi.org/10.21272/jnep.12(1).01003

Vamvoudakis, K. (2016). Control of complex systems: theory and applications (762 p.). Butterworth-Heinemann.

Wiener, N. (2014). The Fourier integral and certain of its applications (216 p.). Martino Fine Books.