Multi-Dimensional Tv3-117 Aircraft Engine Automatic Control System Based of the Neural Network Regulator

Vladov, Serhii; Nazarenko, Nataliia; Тутова, Наталія Володимирівна; Moskalyk, V.М.; Ponomarenko, A. Ya.

doi:10.30929/1995-0519.2020.2.79-84

Cited by 4 publications

(6 citation statements)

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“…Such a parametric and structural change made it possible to qualitatively change the output parameters of the system with experimental data and approach the ideal parameters chosen in the article. In [17,18], the modeling of transient processes in steady-state operating modes (for nominal and emergency modes) was carried out using a multi-mode neural network controller based on a perceptron. In this paper, a similar study was carried out using the developed ACS TE based on a selftuning neural network control system.…”

Section: Resultsmentioning

confidence: 99%

“…It is also considered that for helicopters aircraft TE, the condition of observation and control is made [16]. In [17][18][19], a block diagram of a multidimensional ACS for helicopters aircraft TE (using the TV3-117 aircraft engine as an example) is proposed with the inclusion of N integrators (I) in the system -one in each of the N channels of the control system (fig. 1), implemented in in the form of a multi-mode neural network controller using a dynamic recurrent neural network based on a perceptron (fig.…”

Section: Y Y T Y T Y T mentioning

confidence: 99%

“…It is obvious that the number of neurons in the hidden layer σ must satisfy the constraints σ > N (otherwise, it is impossible to provide independent formation of control actions u 1 , u 2 , ..., u N when changing the neural network inputs v 1 , v 2 , ..., v N ) [17][18][19]. The total number of unknown parameters of the neural network controller, that is, the number of adjustable neural network weights, is:…”

Section: Helicopters Aircraft Tementioning

confidence: 99%

“…The principles of construction of fast-response GTE gas temperature meters were studied in [17]. Synthesis of cross-links of control channels.…”

Section: Mathematical Description Of Helicopters Aircraft Turboshaft ...mentioning

confidence: 99%

“…TV3-117 aircraft TE, which is part of the power plant of Mi-8MTV helicopter with two inputs (n TC , * G T ), one output (G T ) and the presence of significant cross-links (fig. 10) [17][18][19], was used as research object. On fig.…”

Section: Simulation Studies Of the Neural Network Control System Of H...mentioning

confidence: 99%

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Helicopters Aircraft Engines Self-Organizing Neural Network Automatic Control System

Vladov¹,

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Section: Resultsmentioning

confidence: 99%

Section: Y Y T Y T Y T mentioning

confidence: 99%

Section: Helicopters Aircraft Tementioning

confidence: 99%

“…The principles of construction of fast-response GTE gas temperature meters were studied in [17]. Synthesis of cross-links of control channels.…”

Section: Mathematical Description Of Helicopters Aircraft Turboshaft ...mentioning

confidence: 99%

Section: Simulation Studies Of the Neural Network Control System Of H...mentioning

confidence: 99%

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Helicopters Aircraft Engines Self-Organizing Neural Network Automatic Control System

Vladov¹,

Shmelov²,

Yakovliev³

2022

Computer Modeling and Intelligent Systems

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Concept of Building Intelligent Control Systems for Aircraft, Unmanned Aerial Vehicles and Aircraft Engines

Shmelova

Shmelov

Vladov

2020

2020 IEEE 6th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)

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2023

Tehnìka ta energetika

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The lack of simple analytical physical and mathematical models complicates the investigation of the interaction of tillage working bodies with the soil when designing new structures. To simplify these calculations within the framework of agricultural machinery engineering, it is necessary to use software that integrates the development of agricultural mechanics. The purpose of this study was to model and investigate the interaction of tillage working bodies with the soil using Simcenter STAR-CCM+. For this, the volumetric fluid method and the discrete element method were used. When creating the model, the main physical and mechanical properties of the soil were used. As a result, the simulation of the interaction of the most common tillage working bodies, such as a tooth of a duck-foot cultivator, a disc harrow on an elastic stand, a subsoil cultivator (chisel plough), a mouldboard plough, and a smooth roller, was modelled using volumeof-fluid method and discrete element method. The application of the volume-of-fluid method helped establish a nonprimary flow of the soil relative to the working body, while the discrete element method determined the distributions of velocities and forces of interaction of soil particles. It was found that both proposed methods can be useful for modelling the interaction of the tillage working body with the soil in Simcenter STAR-CCM+. Complementing each other, they create a general picture of the physics of the interaction of the tillage tool with the soil. Using Simcenter STAR-CCM+, the interaction process was visualized and the height of the formed ridges and furrow depths and their location in space were

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Multi-Dimensional Tv3-117 Aircraft Engine Automatic Control System Based of the Neural Network Regulator

Cited by 4 publications

References 0 publications

Helicopters Aircraft Engines Self-Organizing Neural Network Automatic Control System

Helicopters Aircraft Engines Self-Organizing Neural Network Automatic Control System

Concept of Building Intelligent Control Systems for Aircraft, Unmanned Aerial Vehicles and Aircraft Engines

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