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Computer Simulation of Dynamic Processes in Electronic systems

Computer Simulation of Dynamic Processes in Electronic Syste...

IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering, SIBIRCON

作者： Konstantin A. Timofeev Yury V. Shornikov Automated Control Systems Department Novosibirsk State Technical University Novosibirsk Russia Automated Control Systems Department Novosibirsk State Technical University Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences Novosibirsk Russia

ISBN: (纸本)9781665464819

The numerical simulation of electronic devices is associated with the solution of stiff differential-algebraic equations systems. An important factor in effective numerical simulation is the count of calculations of the Jacobi matrix, as well as ensuring the necessary accuracy of calculations without the need for a significant reduction in the integration *** article presents a model of a ring modulator in the SimInTech software package. A comparative analysis of the effectiveness of explicit adaptive methods and Diagonally Implicit Runge–Kutta methods implemented in the software systems SimInTech and LISMA has been carried *** is concluded that the DIRK4 method in SimInTech is effective on the example of essentially stiff problems that arise when modeling electronic devices. Compared to the Gear method (in the SimInTech version), the DIRK4 method has almost 3 times fewer decompositions of the Jacobi matrix, which has a good effect on performance with an increase in the system dimension.

关键词： Jacobian matrices Performance evaluation Adaptation models Gears Software packages Computational modeling Numerical simulation

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Numerical Study of Corrosion Cracks in Grounding of Electrical Substations with their Stochastic Origins

Numerical Study of Corrosion Cracks in Grounding of Electric...

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2021 International Ural Conference on Electrical Power Engineering, UralCon 2021

作者： Medvedev, Vyacheslav Nadezhdina, Oksana Sveklova, Oksana Department of Automation and Control in Technical Systems Chuvash State University Cheboksary Russia Department of Applied Mechanics and Graphics Chuvash State University Cheboksary Russia Department of Foreign Languages for Technical Specialties Chuvash State University Cheboksary Russia

ISBN: (纸本)9781665419666

The paper presents numerical studies of mathematical models of corrosion cracks in grounding devices of electrical substations on the basis of ordinary differential equations with fluctuations of the crack initiation and on the basis of partial differential equations with different initial distributions of the random value of the crack. The results obtained are useful in studying the stochastic dynamics of deformational destruction of grounding materials, devices and systems both of electrical engineering and electric power industry. The research technique outlined in the work is especially relevant for practical application to predict all kinds of corrosion destruction processes in order to reduce emergency situations in electrical networks of various voltage classes. © 2021 IEEE.

关键词： Stochastic systems

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Signal Processing for Acoustic Emission Signature Analysis and Defect Detection

Signal Processing for Acoustic Emission Signature Analysis a...

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Digital Signal Processing and its Applications (DSPA), International Conference on

作者： Yeldos A. Altay Dmitry O. Kuzivanov Dinara A. Altay Alexey V. Fedorov Department of Robotics and Technical Means of Automation Satbayev University Almaty Kazakhstan Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russian Federation Department of Natural Sciences Military Engineering Institute of Radio Electronics and Communications Almaty Kazakhstan

This article presents the results of implementing a digital signal processing method for analyzing the acoustic emission (AE) signature and detecting defects such as cracks and pores. The signal processing method is based on a cascade connection of digital high-pass filters and ensures the selection of informative signals and increases the signal-to-interference ratio. In order to control the formation of defects in the process of selective laser melting, the paper presents the results of experimental testing of the cascade filtration method for detecting defects in the internal structure such as cracks and pores. The signal components recorded during the development of defects during the growth of additive manufacturing products were extracted. AE signatures were analyzed and statistical relationships were assessed. The relationship between the parameters of the AE signal and the values of laser radiation power has been identified, which characterizes the process of defect formation.

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Context-Aware control for Quality Improvement in Liquid Steel Manufacturing

Context-Aware Control for Quality Improvement in Liquid Stee...

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control Technology and Applications (CCTA),

作者： Isabela R. Birs Cristina I. Muresan Mircea Susca Vlad Mihai Mihaly Mihaela Ghita Maria Ghita Robin De Keyser Clara Ionescu Research Group of Dynamical Systems and Control Faculty of Engineering and Architecture Ghent University EEDT Decision & Control Flanders Make Consortium Ghent Belgium Department of Automation Technical University of Cluj Napoca Cluj-Napoca Romania

This paper presents an original theoretical and implementation framework of fractional order event-based control with the purpose of quality improvement at the end production line of a continuous casting process. A real-life steel manufacturing plant is taken into consideration in the study. A prior fractional order model is considered to tune a fractional order Proportional Integral controller that ensures an ideal flow velocity of liquid steel. A novel event-based fractional order methodology is proposed that uses internal and external process events in order to improve quality . The implementation strategy takes into consideration available software and hardware components at the plant site, offering a realistic and implementable solution, highly suitable for the current steel industry setting. Numeric simulations successfully validate the proposed methodology.

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Development of a UAV-based System for technical Diagnostics of Overhead Power Lines

Development of a UAV-based System for Technical Diagnostics ...

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International Conference on Computational Problems of Electrical Engineering (CPEE)

作者： Oleksandr Kozlovskyi Dmitro Trushakov Serhiy Rendzinyak Vasyl Korud Department of Electrical Systems and Energy Management Central Ukrainian National Technical University Kropyvnytskyi Ukraine Department of Automation and Control in Technical Systems Central Ukrainian National Technical University Kropyvnytskyi Ukraine Faculty of Electronics and Computer Technologies Ivan Franko National University of Lviv Lviv Ukraine Institute of Power Engineering and Control System Lviv Polytechnic National University Lviv Ukraine

The problems associated with the operation of overhead power lines and ways of improving control over their condition with the help of UAVs are considered. A structural diagram of the system of technical diagnostics of overhead lines based on UAVs was developed, for which the necessary diagnostic parameters were selected according to informative criteria. An analysis of types of UAVs was carried out in order to determine their suitability and efficiency of use for diagnosing the condition of overhead lines.

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Neural Network Concept of Ukrainian-Language Text Embedding

Neural Network Concept of Ukrainian-Language Text Embedding

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International Conference on Advanced Computer Information Technologies (ACIT)

作者： Oleg Bisikalo Oksana Kovtun Viacheslav Kovtun Department of Automation and Intelligent Information Technologies Vinnytsia National Technical University Vinnytsia Ukraine Department of Theory and Practice of Translation Vasyl’ Stus Donetsk National University Vinnytsia Ukraine Department of Computer Control Systems Vinnytsia National Technical University Vinnytsia Ukraine

The main contribution of the research is the neural network concept of Ukrainian-language text embedding with a two-level architecture. Basic embedding is implemented based on main lexical structures (Noun-Verb, Noun-Adjective, Verb-Adverb). To preserve the semantic component of complex, long sentences characteristic of the Ukrainian language, the post-embedding procedure is analytically defined. Both levels of the concept are implemented as autoencoder-type neural networks with appropriate topologies. To evaluate the complexity of the proposed conglomerate training process, a generalized loss function was formalized. Testing of the proposed concept in comparison with classic (BOW, Word2Vec) and progressive (MCB BERT) analogues showed that the author’s solution prevails over the former and lags behind the latter in the selected quality metric.

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Modeling, Analysis and Simulation of the Effect of Temperature on Magnetostrictive Actuators 9

Modeling, Analysis and Simulation of the Effect of Temperatu...

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9th International Conference on Fluid Power and Mechatronics, FPM 2023

作者： Zhang, Xinyuan Wang, Shaoping Niu, Yu Wu, Xiao Wang, Xingjian Gavrilov, Alex I. School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Tianmushan Laboratory Hangzhou310023 China Ningbo Institute of Technology Beihang University Ningbo315800 China Research Institute of Aero-Engine Beihang University Beijing100191 China Bauman Moscow State Technical University Department of Automatic Control Systems Moscow105005 Russia

ISBN: (纸本)9798350304947

The increased demand for active control of engines has made the study of high-frequency response actuators increasingly important, and actuators based on magnetostrictive materials are promising for a wide range of applications. In this paper, the magnetic field distribution and various thermal losses including Joule heat loss, eddy current loss and hysteresis loss inside the giant magnetostrictive actuator (GMA) are analyzed, and the mathematical model of the current-driven GMA operation is derived, where the new J-A model considering the temperature effect is used to describe the hysteresis nonlinearity of the material. This paper simulates the actuator model under the action of multiple physical fields in COMSOL, focusing on the variation of the output displacement of the actuator when the thermal field and thermal expansion are integrated, and provides the theoretical basis for the design of the GMA control algorithm in the future. © 2023 IEEE.

关键词： Temperature

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Aeroservoelastic induced drag modelling and minimization for the T-FLEX demonstrator

Aeroservoelastic induced drag modelling and minimization for...

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AIAA SciTech Forum and Exposition, 2023

作者： Meddaikar, Yasser M. Krüger, Wolf R. Kier, Thiemo Bartasevicius, Julius Yu, Fanglin Vanek, Bálint Olgyay, Ábel Takarics, Béla Loads Analysis and Aeroelastic Design DLR - Institute of Aeroelasticity Bunsenstrasse 10 Goettingen37073 Germany Department of System Dynamics and Control DLR - Institute of System Dynamics and Control Weßling82234 Germany Institute of Aircraft Design Technical University of Munich Boltzmannstraße 15 Garching/München85748 Germany Systems and Control Lab SZTAKI Kende u. 13-17 Budapest1111 Hungary Computer and Automation Research Institute SZTAKI Kendeu. 13-17 Budapest1111 Hungary

ISBN: (数字)9781624106996

ISBN: (纸本)9781624106996

This work is part of the on-going EU-project FliPASED, wherein flight tests using a UAV demonstrator (T-FLEX) and a multi-disciplinary optimization (MDO) exercise involving the aeroservoelastic optimization of UAV demonstrator and commercial-scale aircraft wings are performed. In this paper, several potential flow methods have been applied to estimate induced drag of the T-FLEX aircraft, followed by solving an optimization problem to minimize it using the control surfaces on the wings. The results from this study were used in the retrofit design of a pair of manufactured wings - the number and position of the control surfaces and the wing selection. In a next step, the developed tools will form the basis for a controller that will minimize induced drag, which will be tested on the T-FLEX testbed. The developed tools and the validated results will also be used within a broader MDO task involving optimization studies on a commercial short/medium range aircraft. © 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Wings

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Intelligent Algorithms for Automated control of Biotechnical Objects in Conditions of Uncertainty

SSRN

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SSRN 2023年

作者： Zaiets, Nataliia Lutska, Nataliia Lysenko, Vitaly Bolbot, Igor Osadchiy, Serhii Department of Control Systems Technical University of Berlin Berlin10587 Germany Department of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kiev03041 Ukraine Department of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv01033 Ukraine Department of Aircraft Designs Flight Academy of the National Aviation University Kropyvnytskyi25005 Ukraine National University of Life and Environmental Sciences of Ukraine Ukraine

Uncertainty of environmental conditions is typical for most biological and agricultural systems, but recently it has become a serious challenge because of global climate changes. Due to delayed response to unpredictable environmental changes, the functioning of these systems is not always optimal. Another source of uncertainty is the adaptive response of a biological system, which usually does not coincide with the chosen objective function. Our research is focused on the development of intelligent control strategies, which could be used for biotechnical systems to improve their performance in conditions of uncertainty. The effect of uncertainties on the key performance indicators (KPI) was analyzed based on the "cause-effect" *** concept of intelligent control is based on the statistical evaluation of environmental uncertainties, while the decision-making is based on game theory. This concept of intelligent control is universal and could be applied to different classes of biotechnical systems from small animal farms to large industrial plants. For example, sugar production in the sugar mill plant requires minimization of sugar losses in three major unit operations - extraction, filtering, and concentration. Each unit operation was modeled with the ANN, trained on the laboratory datasets. Based on simulated or real inputs from the technological process, ANNs predict outputs in terms of quality, losses, and energy efficiency. In stationary mode, ANNs are used for the prediction of optimal technological regimes. In real-time, they are used for the correction of technological regimes to maximize the objective function. The application of intelligent algorithms improved process performance and energy efficiency. © 2023, The Authors. All rights reserved.

关键词： Decision making

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Machine Learning in Predicting the Impact of Filter Parameters on the Accuracy of Biosignal Measurement

Machine Learning in Predicting the Impact of Filter Paramete...

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Digital Signal Processing and its Applications (DSPA), International Conference on

作者： Yeldos A. Altay Raisa K. Uskenbayeva Abu-Alim E. Ayazbay Alexey V. Fedorov Department of Robotics and Technical Means of Automation Satbayev University Almaty Kazakhstan Institute of Automation and Information Technologies Vice-Rector Satbayev University Almaty Kazakhstan Electronic engineering Almaty University of Power Engineering and Telecomunications Almaty Kazakhstan Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russian Federation

ISBN: (数字)9798331518752

ISBN: (纸本)9798331518769

In this scientific article under consideration, a machine learning model has been developed that allows predicting the impact of filter parameters on the accuracy of measuring a biosignal - an ECG (electrocardiography) signal. For the first time, quantitative results have shown the degree of influence and the error introduced into the measured biosignal and described through dependence. The results of assessing the obtained relationship of indicators demonstrate an inverse correlation relationship that characterizes a decrease in the accuracy of measurement at the output of a high-order digital filtering system. The machine learning model is based on the linear regression method the dependence of which is approximated by the method based on least squares and visualized using a scattergram. The adequacy of the developed machine learning model was confirmed by calculating the coefficient of determination and checking its statistical significance. The developed model can be used to create new or improve existing biomedical data processing systems to increase the reliability of the results.

关键词： Accuracy Shape Filtering Biological system modeling Machine learning Biomedical measurement Electrocardiography Distortion Distortion measurement Digital filters

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