Digital Algorithms for Compensation of Airliner Turbojet Engine Thrust Asymmetry

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Digital Algorithms for Compensation of Airliner Turbojet Engine Thrust Asymmetry

Novichkov, V. M. / Burova, A. Yu.

The issues have been considered, concerning the study of additional opportunities for unerroric of automated quality control of the operation of bypass turbojet engines of a twin-engine airliner power plant in flight. Unerroric of the airliner bypass turbojet engine operation quality control contributes to an increase in flight safety when such control error reducing conditions are met. Such conditions comprise the multidimensionality of formulating the engine health estimating problems and the multilevel nature of this assessment. The study is aimed at searching for a solution to the problem of reducing the error in quality control of the operation of bypass turbojet engines of a twin-engine airliner power plant in flight. In the study, the techniques for software simulating algorithms for controlling the quality of operation of bypass turbojet engines of a twin-engine airliner power plant in flight were used with a multidimensional formulation of problems of a multilevel assessment of their health and a combined method of system analysis and approximate synthesis of optimal control. The algorithms for automated assessment of the engine health have been proposed, developed, and described based on the ratios of the set and measured rotational speeds of LP and HP rotors of these engines. Formulas for the relationship of these parameters are given.

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Document information

Title :

Digital Algorithms for Compensation of Airliner Turbojet Engine Thrust Asymmetry

Additional title:

Smart Innovation, Systems and Technologies

Contributors:

Solovev, Denis B. (editor) / Savaley, Viktor V. (editor) / Bekker, Alexander T. (editor) / Petukhov, Valery I. (editor) / Novichkov, V. M. (author) / Burova, A. Yu. (author)

Published in:

Proceeding of the International Science and Technology Conference "FarEastСon 2021" ; Chapter : 84 ; 859-867

Smart Innovation, Systems and Technologies ; 275

Publication date :

2022-02-26

Size :

9 pages

ISBN :

978-981-16-8829-4 , 978-981-16-8828-7

ISSN :

2190-3026 , 2190-3018

DOI :