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Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Aydoğan Soylu Tufan Kumbasar Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey AI and Intelligent Systems Laboratory Istanbul Technical University Istanbul Turkey

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

Accurate modeling of aerodynamic coefficients is crucial for understanding and optimizing the performance of modern aircraft systems. This paper presents the novel deployment of an Evolving Type-2 Quantum Fuzzy Neural Network (eT2QFNN) for modeling the aerodynamic coefficients of the ATTAS aircraft to express the aerodynamic characteristics. eT2QFNN can represent the nonlinear aircraft model by creating multiple linear submodels with its rule-based structure through an incremental learning strategy rather than a traditional batch learning approach. Moreover, it enhances robustness to uncertainties and data noise through its quantum membership functions, as well as its automatic rule-learning and parameter-tuning capabilities. During the estimation of the aerodynamic coefficients via the flight data of the ATTAS, two different studies are conducted in the training phase: one with a large amount of data and the other with a limited amount of data. The results show that the modeling performance of the eT2QFNN is superior in comparison to baseline counterparts. Furthermore, eT2QFNN estimated the aerodynamic model with fewer rules compared to Type-1 fuzzy counterparts. In addition, by applying the Delta method to the proposed approach, the stability and control derivatives of the aircraft are analyzed. The results prove the superiority of the proposed eT2QFNN in representing aerodynamic coefficients.

关键词： Training Uncertainty Atmospheric modeling Aerodynamics Fuzzy neural networks Stability analysis Robustness Aircraft Robots Optimization

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Dynamic Performance Prediction in Batch-Based Assembly System with Bernoulli Machines and Changeovers

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Complex System Modeling and Simulation 2022年第3期2卷 224-237页

作者： Zunjun Wang Zhiyang Jia Xiuxuan Tian Jingchuan Chen Bei Pan State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Industrial and Manufacturing Systems Engineering University of Hong KongHong Kong 999077China School of Engineering Tokyo University of TechnologyTokyo 192-0982Japan

Worldwide competition and diverse demand of customers pose great challenges to manufacturing enterprises. How to organize production to achieve high productivity and low cost becomes their primary task. In the mean time, the rapid pace of technology innovation has contributed to the development of new types of flexible automation. Hence, increasing manufacturing enterprises convert to multi-product and small-batch production, a manufacturing strategy that brings increased output, reduced costs, and quick response to the market. A distinctive feature of small-batch production is that the system operates mainly in the transient states. Transient states may have a significant impact on manufacturing systems. It is therefore necessary to estimate the dynamic performance of systems. As the assembly system is a typical class of production systems, in this paper, we focus on the problem of dynamic performance prediction of the assembly systems that produce small batches of different types of products. And the system is assumed to be characterized with Bernoulli reliability machines, finite buffers, and changeovers. A mathematical model based on Markovian analysis is first derived and then, the analytical formulas for performance evaluation of three-machine assembly systems are given. Moreover, a novel approach based on decomposition and aggregation is proposed to predict dynamic performance of large-scale assembly systems that consist of multiple component lines and additional processing machines located downstream of the assemble machine. The proposed approach is validated to be highly accurate and computationally efficient when compared to Monte Carlo simulation.

关键词： flexible assembly system dynamic performance Bernoulli machines finite buffers changeovers

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High-Power LED Lamp Driver Modelling 7

High-Power LED Lamp Driver Modelling

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7th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2025

作者： Chukhraev, Igor V. Sevastyanova, Marina A. Drach, Vladimir E. Torkunova, Julia V. Bauman Moscow State Technical University Computer Science and Control Department Moscow Russian Federation Sochi State University Department of Innovative Engineering and Digital Technologies Sochi Russian Federation Kazan State Power Engineering University Department of Information Technologies and Intelligent Systems Kazan Russian Federation

ISBN: (纸本)9798331531836

The growing demand for energy-saving lamps highlights critical limitations in traditional LED secondary optics, which reduce energy efficiency and complicate heat dissipation - a key factor in LED lamp longevity. This study proposes an optimized circuit design for a 20-watt LED driver that addresses these issues. The proposed driver ensures effective LED control while improving thermal management and eliminating drawbacks of conventional designs. Key principles of modern LED lamp design and current challenges are identified. The electronic schematic of the high-power LED driver was simulated using LTSpice software in order to analyze and optimize the circuit's performance, resulting in a driver solution that enhances efficiency and reliability. © 2025 IEEE.

关键词： driver high-power LED lighting LTSpice Modeling schematics

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Synthesis of Diagnostic Observers for Linear systems Based on Optimal control Methods

Synthesis of Diagnostic Observers for Linear Systems Based o...

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2022 International Conference on control, automation and Diagnosis, ICCAD 2022

作者： Kabanov, Aleksey A. Zuev, Aleksandr V. Zhirabok, Aleksey N. Filaretov, Vladimir F. Department of Informatics and Control in Technical Systems Sevastopol State University Russia Laboratory of Intelligent Information Systems for Marine Robots Institute of Marine Technology Problems FEB RAS Russia Department of Automation and Robotics Far Eastern Federal University Russia Robotics Laboratory Institute of Automation and Control Processes FEB RAS Russia

ISBN: (数字)9781665497947

ISBN: (纸本)9781665497947

The paper considers the problem of fault identification in dynamic systems described by linear differential equations. To solve this problem, diagnostic observers constructed on the basis of optimal control methods are used. The proposed new method for the synthesis of such observers is based on the idea of introducing a new system with some auxiliary control which plays a role of an unknown vector function describing emerging faults. This control is proposed to be formed in such a way that it provides a minimum for the residual functional. Unlike popular approaches to solving the problem of fault identification based on observers operating in a sliding mode, the proposed method allows us to expand the class of systems for which the identification problem can be solved. It is known that the methods of sliding mode observers design impose certain restrictions on the systems under consideration. The suggested theory is illustrated by an example. The simulation results confirmed the operability of the diagnostic observers synthesized using the method proposed in the work. © 2022 IEEE.

关键词： Linear systems

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Development of Digital Pressure Observer in Hydraulic Cylinders for Vertical Balancing of Rolling Stand Spindles

Development of Digital Pressure Observer in Hydraulic Cylind...

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2023 Russian Workshop on Power Engineering and automation of Metallurgy Industry: Research and Practice, PEAMI 2023

作者： Loginov, B.M. Gasiyarova, O.A. Khramshin, V.R. Voronin, S.S. Pjsc Magnitogorsk Iron and Steel Works Magnitogorsk Russia Llc Npp Uchtekh-Profi Department of Material Science Chelyabinsk Russia Nosov Magnitogorsk State Technical University Power Engineering and Automated Systems Institute Magnitogorsk Russia Moscow Polytechnic University Department of Automation and Control Moscow Russia

ISBN: (纸本)9798350322156

A literature review showed that the causes of accidents frequently occuring at rolling mills are fatigue failures of spindle heads or necks of mill rollers. This confirms the relevance of developing the systems for monitoring the wear degree of the spindle joint components directly during the rolling process. This is relevant for thick plate rolling mills operating under shock load application. As a diagnostic feature, it is proposed to use pressure in hydraulic cylinders of spindle vertical balancing. It has been experimentally proved that the process of fatigue failure development increases such pressure;that is why it is an informative criterion in terms of defect growth. The observer structure is proposed;at the observer output the variable pressure component is restored, and an emergency signal is generated. The algorithm for virtual observer configuration is implemented in the Matlab Simulink package. The proposed algorithm has been implemented in pilot operation on a thick plate mill 5000. The authors give an example of a pre-emergency situation on-line monitoring. The timely emergency warning has been registered and confirmed which proves the technical and economic efficiency of the observer adoption. © 2023 IEEE.

关键词： Cylinders (shapes)

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Designing the system for detecting unsuitable marble stones for an industrial process using convolutional neural networks

Designing the system for detecting unsuitable marble stones ...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Shubin Ivan Denis Shilin Department of Control Systems and Intelligent Technologies National Research University "MPEI" Moscow Russian Federation

To the actual date, computer vision and neural network data analysis are actively developing and finding more and more applications in the industrial control engineering. These technologies are now used to deal with important problems that previously could not be solved without the help of a human as an operator. This study is devoted to the selection and configuration of a convolutional neural network for recognizing unsuitable marble samples on a conveyor belt, as well as creating an application for defining the position of these objects. Software for the classification of marble stones based on the YOLOv5 neural network model has been developed. The value of the precision and recall metric in the final experiment reached 0.957 and 0.947, respectively.

关键词： Measurement Power engineering Computer vision Data analysis Industrial control Neural networks Belts

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Development of a comprehensive cybersecurity solution for an automated process control system of a digital substation

Development of a comprehensive cybersecurity solution for an...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Vladimir Shikhin Olga Trutneva Department of Control Systems and Intelligent Technologies National Research University "MPEI" Moscow Russian Federation

Currently, ensuring the cybersecurity (CSS) of the automated process control system (APCS) of a digital substation is an extremely urgent problem, since at present the introduction of control tools with complex modern digital technologies is accelerating at electric power enterprises. At the same time, digital communication at the substations is a key component of power grid modernization plans, but at the same time, this technology significantly increases the vulnerability of the automated process control systems to the cyber attacks. The paper analyzes current cyberattacks on the automated control system of a digital substation (DGS) and develops a comprehensive cybersecurity solution that meets the legislative requirements of Russia and adapted to the identified model of cyber threats. The article assesses the risk levels of cyber attacks on various information resources of the DGS.

关键词： Substations Information resources Power measurement Process control Digital signal processing Reliability engineering Software

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Calculation, modeling and programming of a three-link manipulator robot

Calculation, modeling and programming of a three-link manipu...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Svetlana Vtyurina Denis Shilin Department of Control Systems and Intelligent Technologies National Research University "MPEI" Moscow Russian Federation

This paper presents an analysis of methods for solving direct and inverse kinematics problems. systems of equations describing the analytical solution of manipulator position problems are presented. According to the dependencies obtained earlier, the solution of the kinematics problems of the robot was programmed, and the solution of the problem with boundary conditions helped to establish the correctness of the previously identified dependencies. The construction of the attainability domain helped to determine the necessary constraints and reduce the redundant system of solutions of the inverse kinematics problem. The simulation of the operation of the robotic station showed positive automation results in the form of a large reduction in the labor intensity and duration of the operator's work.

关键词： Training Power engineering automation Service robots Kinematics Production Programming

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Development of the digital twin for a multi-purpose processing plant training simulator

Development of the digital twin for a multi-purpose processi...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Ilya Zabarin Denis Shilin Department of Control Systems and Intelligent Technologies National Research University "MPEI" Moscow Russian Federation

Integration of digital twin in the form of a virtual copy of a physical object or process that helps to simulate various processes, emergency situations, receive certain statistics on the operation of devices and manage the control plant in real time can be considered as excellent and efficient solution for modern industrial manufacturing enterprises. Digital twins greatly expand the possibilities in the training of automated control system engineers, allowing them to interact with virtual simulators of any scale without risk to real equipment. This paper introduces the possibility of using such systems as a simulator for training control engineers is considered. A modern game engine and simulation platform were used to develop a similar training complex, which is a virtual control object for training engineers in the field of process control systems. An application with a virtual control plant has been developed, which allows debugging the project under development. The process of developing an object control program is significantly simplified, as it helps to visually control and test the program being developed.

关键词： Training Solid modeling Power engineering Three-dimensional displays Process control Virtual reality Search problems

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Frequency Domain-Based Low-Rank Approximation for Magnetic Anomaly Detection

Frequency Domain-Based Low-Rank Approximation for Magnetic A...

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Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), International Conference on

作者： Yumeng Lv Congyu Liao Huan Liu Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Wuhan China Department of Radiology Stanford University CA USA

ISBN: (数字)9798331529192

ISBN: (纸本)9798331529208

Current magnetic anomaly detection (MAD) methods prioritize signal-to-noise ratio (SNR) over signal features and edge information, leading to signal distortion. To address this issue, a new MAD approach utilizes structured lowrank approximation and block singular value decomposition based on the spatial frequency domain, dubbed FL-BSVD is proposed. First, the low-rankness structure of the magnetic anomaly signal is obtained through 2D Discrete Fourier Transform (2D-DFT) and structured Hankel transformation. Then, block singular value decomposition is applied to the Hankel matrix to reduce noise while preserving more signal edge features and enhancing detection accuracy. Finally, a field experiment comparing FL-BSVD with four commonly used methods is conducted. The experiment confirms that FL-BSVD can effectively recover magnetic anomaly signal features and edge information in a strong noisy environment.

关键词： Image edge detection Frequency-domain analysis Noise reduction Magnetic domains Feature extraction Noise measurement Magnetic anomaly detection Signal to noise ratio Singular value decomposition Periodic structures

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