Fuzzy Automatic Control System Synthesis of the Propeller Fan  the Aviation Gas Turbine Engine

Єнчев, С.В.; Mazur, Tomasz; Tovkach, Serhii

doi:10.18372/1990-5548.58.13510

Cited by 3 publications

(5 citation statements)

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“…, , , , ( ), (), ( ) are optimal parameters of discrete wavelet filtering for the n-th recursion cycle obtained from the conditions of the proportion minimum error (4).…”

Section: Recursive Mathematical Model Of Discrete Wavelet Filtering W...mentioning

confidence: 99%

“…One of the most well-known approaches for detailing coefficients processing is thresholding (zeroing) the coefficients that do not exceed a given value (threshold) [2,3]. This method of noise removal is called thresholding [4], and the quality of noise reduction depends on the type of a thresholding function and the way it is applied [5]. The use of a local method with an adaptive universal threshold does not allow its capabilities to be fully realized [6].…”

Section: Introductionmentioning

confidence: 99%

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Improving metrological characteristics of measuring instruments by discrete wavelet noise filtering using the recursion method

Onufrienko

Taranenko²,

Suchkov

2022

УМЖ

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The method of recursive discrete wavelet noise filtering for improving metrological characteristics of measuring instruments was investigated for the first time. Methods with a common threshold for all decomposition levels, methods without threshold with a simple zeroing of detail coefficients until the minimum mean square (RMS) error is reached, and methods with universal threshold for detail coefficients at each decomposition level were studied. Twenty different types of measurement signals from the popular PyWavelets library were analyzed. The functions of filtering methods with a common threshold were determined, for which the use of recursion reduces the filtering error from 10 to 50%. For methods without threshold and with universal threshold, the recursion does not reduces the error by multiple filtering of measurement signals. To apply the recursion to the method with a common threshold for all decomposition levels, a mathematical model based on the fundamental equations of wavelet filtering was constructed. The character of distribution of the filtering RMS error depending on the number of reversible cycles is investigated. It was summarized that for the measurement signal models under consideration, the maximum error reduction occurs between the zero cycle, in which the initial measurement signal is filtered, and the first level of recursion. Further reduction of the filtering error with increasing number of recursion cycles occurs according to the law close to hyperbolic.

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“…, , , , ( ), (), ( ) are optimal parameters of discrete wavelet filtering for the n-th recursion cycle obtained from the conditions of the proportion minimum error (4).…”

Section: Recursive Mathematical Model Of Discrete Wavelet Filtering W...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving metrological characteristics of measuring instruments by discrete wavelet noise filtering using the recursion method

Onufrienko

Taranenko²,

Suchkov

2022

УМЖ

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“…На сьогодні для суттєвого покращення параметрів САК авіаційними ГТД все більше використовуються регулятори, побудовані із застосуванням алгоритмів нечіткої логіки [5][6][7]. Під нечітким керуванням будемо розуміти стратегію керування, яка базується на емпірично набутих знаннях щодо функціонування об'єкту і представлених у лінгвістичній формі у вигляді деякої сукупності правил [5].…”

Section: постановка проблемиunclassified

“…САК ГТД з нечіткими регуляторами (НР) є нелінійними системами, в яких можливі стійкі автоколивання. На сьогодні при проектуванні таких систем до кінця не вирішенні питання аналізу стійкості та якості процесу керування, так як через складність аналітичного опису нечітких систем практично відсутні методи їх дослідження [5][6][7]. Тому основним методом аналізу є моделювання.…”

Section: постановка проблемиunclassified

“…Для розв'язку задач аналізу періодичних коливань в нелінійних системах використовуються наближені методи. Серед них найбільш розробленим у теоретичному і методичному аспектах є метод гармонічної лінеаризації [5,6]. Тому мета дослідження -розробка методики синтезу інтелектуальної системи керування з нечітким регулятором як сепаратної підсистеми на основі методу гармонічної лінеаризації та проектуванні на його основі нечіткої САК запасом газодинамічної стійкості авіаційного ГТД.…”

Section: постановка проблемиunclassified

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Інтелектуальний Регулятор Запасу Газодинамічної Стійкості Компресора Авіаційного ГТД

Єнчев¹,

Таку²

2021

aktt

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The gas-dynamic stability of compressors of aircraft gas turbine engines is one of the most important conditions that determine their reliability and level of flight safety. Unstable operation of the compressor in the engine system (surge) leads to loss of thrust accompanied by an increase in gas temperature in front of the turbine and increased vibration because of large amplitudes of pressure pulsations and mass flow through the engine path. To improve the parameters of ACS aviation gas turbine engines are increasingly using regulators built using fuzzy logic algorithms. The implementation of fuzzy control algorithms differs from classical algorithms, which are based on the concept of feedback and reproduce a given functional dependence or differential equation. These functions are related to the qualitative assessment of system behavior, analysis of the current changing situation, and the selection of the most appropriate for the situation supervision of the gas turbine engine. This concept is called advanced management. ACS gas turbine engines with fuzzy regulators are nonlinear systems in which stable self-oscillations are possible. Approximate methods are used to solve the problems of analysis of periodic oscillations in nonlinear systems. Among them, the most developed in theoretical and methodological aspects is the method of harmonic linearization. The scientific problem is solved in the work – methods of synthesis of intelligent control system with the fuzzy regulator as a separate subsystem based on the method of harmonic linearization and design on its basis of fuzzy ACS reserve of gas-dynamic stability of aviation gas turbine engine. Based on the analysis of the principles of construction of fuzzy control systems, it is shown that the use of fuzzy logic provides a new approach to the design of control systems for aviation gas turbine engines in contrast to traditional control methods. It is shown that the fuzzy controller, as the only essentially nonlinear element when using numerical integration methods, can be harmonically linearized. Harmonic linearization allows using the oscillation index to assess the quality in the separate channels of fuzzy ACS aviation gas turbine engines. A fuzzy expert system has been developed for optimal adjustment of the functions of belonging of typical fuzzy regulators according to quality criteria to transients.

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Mathematical Tool for Optimizing the Structure of the UAV Engine Distributed Information System

Tovkach

2019

2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)

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Fuzzy Automatic Control System Synthesis of the Propeller Fan the Aviation Gas Turbine Engine

Cited by 3 publications

References 0 publications

Improving metrological characteristics of measuring instruments by discrete wavelet noise filtering using the recursion method

Improving metrological characteristics of measuring instruments by discrete wavelet noise filtering using the recursion method

Інтелектуальний Регулятор Запасу Газодинамічної Стійкості Компресора Авіаційного ГТД

Mathematical Tool for Optimizing the Structure of the UAV Engine Distributed Information System

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