Aircraft Turbine Engine Automatic Control Based on Adaptive Dynamic Models

Yepifanov, Sergiy

doi:10.2478/tar-2020-0021

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Щоб урахувати зазначену зміну властивостей і забезпечити необхідну якість керування, САК має бути адаптивною [2,3]. Одним з найбільш ефективних напрямів адаптації САК [4] є корекція математичної моделі двигуна [5], яка лежить в основі алгоритмів керування [6].…”

Section: вступunclassified

Аналіз Точності Самоналаштування Динамічної Моделі Газотурбінного Двигуна

Yepifanov,

Bondarenko

2024

aktt

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One of the most promising directions in the development of aircraft engines is related to the introduction of adaptive automatic control systems (ACS). The defining element of these systems are dynamic mathematical models of engines capable of self-adjustment based on engine operating parameters measured in flight. A number of leading researchers have developed a concept of using such models called STORM (Self-Tuned On-board Real-time Model). However, in the corresponding works, clearly insufficient attention is paid to solving the problem of checking the sufficiency of the information used to ensure the necessary accuracy of the models. This check must be performed a priori (to predict the composition of engine operating modes, and the volume of registered information), as well as posteriori. The subject of this study is the process of forming dynamic mathematical models (MM) of gas turbine engines using real data for the subsequent use of these models to solve problems related to the control and diagnostics of on-board systems. The goal of this study is to determine the dependence of estimation errors of dynamic parameters of mathematical models on influencing factors. Tasks considered in the work: forming the structure of a mathematical model, dividing the identification process into stages according to the structure of the model (estimating the parameters that determine the static and dynamic properties of the object), forming the least-square functional for the assessment task, determining the errors in estimating dynamic coefficients, analyzing influencing factors, and determining dependencies between factors and errors. For this purpose, the methods of the theory of air-jet engines, the theory of linear dynamic systems, and statistical evaluation are used. The following results were obtained: a mathematical model of a turboshaft engine with a reciprocating gas generator was formed, and ratios were obtained that allow determining the errors in estimating the time constant of a reciprocating engine or gas generator. Scientific and practical innovation: for the first time, a ratio was obtained that determines the errors in estimating the time constant based on the specified values of the measurement errors, the intensity of the jump-like change in fuel consumption, and the frequency and duration of observation. These relations are presented in dimensionless coordinates, which makes them universal and able to be applied to any single-stroke turbojet engine or single-stroke gas generator during a priori or a posteriori analysis of results, as well as planning experiments and debugging on-board self-tuning algorithms of models.

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Section: вступunclassified

Аналіз Точності Самоналаштування Динамічної Моделі Газотурбінного Двигуна

Yepifanov,

Bondarenko

2024

aktt

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“…to accommodate this variety in the property and characteristic and provide necessary control quality, the adaption concept is necessary to be introduced into ACS [2][3][4][5][6]. One of the most promising development is work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.…”

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Development of Turboshaft Engine Adaptive Dynamic Model: Analysis of Estimation Errors

Yepifanov

Bondarenko

2022

Transactions on Aerospace Research

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One of the most perspective directions of aircraft engine development is related to implementing adaptive automatic electronic control systems (ACS). The significant elements of these systems are algorithms of matching of mathematical models to actual performances of the engine. These adaptive models are used directly in control algorithms and are a combination of static and dynamic sub-models. This work considers the dynamic sub-models formation using the Least Square method (LSM) on a base of the engine parameters that are measured in-flight. While implementing this function in the (ACS), the problem of checking the sufficiency of the used information for ensuring the required precision of the model arises. We must do this checking a priori (to determine a set of operation modes, the shape of the engine test impact and volume of recorded information) and a posteriori. Equations of the engine models are considered. Relations are derived that determine the precision of parameters of these models’ estimation depending on the precision of measurement, the composition of the engine power ratings, and durability of observations, at a stepwise change of fuel flow. We present these relations in non-dimensional coordinates that make them universal and ready for application to any turboshaft engine.

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Aircraft Turbine Engine Automatic Control Based on Adaptive Dynamic Models

Cited by 2 publications

References 10 publications

Аналіз Точності Самоналаштування Динамічної Моделі Газотурбінного Двигуна

Аналіз Точності Самоналаштування Динамічної Моделі Газотурбінного Двигуна

Development of Turboshaft Engine Adaptive Dynamic Model: Analysis of Estimation Errors

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