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5th International Conference on Information Technologies in engineering Education, Inforino 2020

作者： Merzlikina, E.I. Prochina, O.G. National Research University Moscow Power Engineering Institut Automated Control Systems for Thermal Processes Department Moscow Russia

ISBN: (数字)9781728148106

ISBN: (纸本)9781728148106

This paper is devoted to a cycle of laboratory works on the control theory course for students of MPEI. This course was developed for the bachelor students of Institute of Thermal and Nuclear Power engineering studying on the educational program Automation of technological processes in thermal power engineering, so dynamical characteristics of plants and processes under consideration are typical for thermal ones, for example, surface heat exchangers. The cycle consists of five laboratory works which may be carried out in Matlab/Simulilnk or Scilab/Xcos. Short descriptions of the laboratory works are given, the purpose of each of them, the skills and knowledge being improved, developed or obtained through each laboratory works are specified. The paper also describes how the laboratory works are connected with other aspects of the control theory course and with other bachelor and master courses and how the results obtained by the students may be further used. In order to make the classes more interesting and useful for all students, some variants of varying laboratory works are described. Advantages of using Scilab/Xcos for these laboratory works are given. © 2020 IEEE.

关键词： control theory

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A Modified Dempster Shafer Approach to Classification in Surgical Skill Assessment

A Modified Dempster Shafer Approach to Classification in Sur...

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Iranian Conference on Electrical engineering (ICEE)

作者： Arash Iranfar Mohammad Soleymannejad Behzad Moshiri Hamid D. Taghirad School of Electrical and Computer Engineering University College of Engineering University of Tehran Tehran Iran Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran

Artificial intelligence systems are usually implemented either using machine learning or expert systems. Machine learning methods are usually more accurate and applicable to a broader range of applications. Expert systems, on the other hand, require much less data for training and generate more comprehensible results. These characteristics are typically desired in the fields of surgery and medicine because there isn't much data available. In order to give a machine's decisions a deeper level of semantics, it is also advantageous to incorporate a doctor's expertise into it. Furthermore, it is safer to understand the reasoning behind a machine's choices. In this paper, a Dempster-Shafer Theory (DST) based expert system is suggested for the task of surgical training skill assessment. An interval-based probabilistic feature analysis was applied to the data to assign values to the mass functions. Zhang's rule of combination was applied to handle the conflicting evidence in the prediction phase. The performance of the proposed method was compared to another DST classifier, SVM, and XGBoost. Our method outperforms SVM and other DST classifiers, but it is not as precise as XGBoost. By reducing the size of the dataset, the added benefit of using an expert system as opposed to a machine learning method was explored further. The performance of the suggested method is not adversely affected by the size of the dataset, whereas the XGBoost classifier is.

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Forward Kinematics Development of a 3-RRS Parallel Manipulator for Real-Time control

Forward Kinematics Development of a 3-RRS Parallel Manipulat...

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RSI/ISM International Conference on Robotics and Mechatronics (ICROM)

作者： S. Ali A. Moosavian Omid Mahdizadeh Sina Hallajian Sara Ashrafi Mohammad Jamali Vahid Akbari Department of Mechanical Engineering Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab. K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781665454537

In control of parallel robots, forward kinematics calculation is mainly required. In some studies, obtained equations are solved numerically with massive calculations that is not acceptable for control implementations. This paper introduces a new method to extract forward kinematics for a 3- RRS robot. This method calculates the kinematics of passive joints with two separated equations, which can be solved to decrease the total computation demands. Also, a new weight compensation mechanism is proposed to improve the dynamic response by a linear pneumatic actuator placed between the ground and the end-effector. On the other hand, to use various control algorithms, the position of the rolling ball on the end- effector (moving platform) must be measured. This is performed using Convolutional Neural Networks (CNNs) as image processing algorithms. Since the system must work quickly for a high-frequency task, the proposed image processing algorithm can provide the desired fast feedback. Experimental results reveal the merits of the above-described proposed modules.

关键词： Pneumatic actuators Image processing Heuristic algorithms Kinematics Position measurement Pneumatic systems Mathematical models

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Machine learning for predicting energy efficiency of buildings: a small data approach

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Procedia Computer Science 2024年 231卷 72-77页

作者： Ivan Izonin Roman Tkachenko Stergios Aristoteles Mitoulis Asaad Faramarzi Ivan Tsmots Danylo Mashtalir Department of Artificial Intelligence Lviv Polytechnic National University Kniazia Romana str. 5 Lviv 79905 Ukraine Department of Civil Engineering School of Engineering University of Birmingham Birmingham B15 2TT United Kingdom Department of Publishing Information Technologies Lviv Polytechnic National University S. Bandera str. 12 Lviv 79013 Ukraine Department of Automated Control Systems Lviv Polytechnic National University Kniazia Romana str. 5 Lviv 79905 Ukraine

This paper provides a method for predicting the energy efficiency of buildings using artificial intelligence tools. The scopes is twofold: prediction of the levels of the heating load and cooling load of buildings. A feature of this research is the performance of intellectual analysis in conditions of a limited amount of data when solving the stated tasks. An improved method of augmentation and prediction (input-doubling method) is proposed by processing data within each cluster of the studied dataset. The selection of the latter occurs due to the use of the fast and easy-to-implement k-means method. Next, a prediction is made using the input-doubling method within each separate cluster. The simulation of the method was performed on a real-world dataset of 768 observations. The proposed approach was found to have a high prediction accuracy in the absence of overfitting and high generalization properties of the improved method. Comparison with existing methods showed an increase in accuracy by 40-46% (MSE) compared to SVR with rbf kernel, which is the basis for the improved method, and by 5-12% (MSE) compared to the closest existing hierarchical predictor.

关键词： artificial intelligence civil engineering energy efficiency small data approach prediction clustering input-doubling method

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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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IEEE Russian Workshop on Power engineering and Automation of Metallurgy Industry: Research & Practice (PEAMI)

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

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.

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Development of AC Voltage Stabilizer with Microcontroller-Based control System

Development of AC Voltage Stabilizer with Microcontroller-Ba...

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International Computer Sciences and Information Technologies (CSIT)

作者： Andriy Holovatyy Andrzej Łukaszewicz Vasyl Teslyuk Nazariy Ripak Department of Computer-Aided Design Systems Lviv Polytechnic National University Lviv Ukraine Department of Machinery Design and Operation Faculty of Mechanical Engineering Bialystok University of Technology Bialystok Poland Department of Automated Control Systems Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798350334326

In the paper, the model and prototype of the AC stabilizer have been developed based on the AVR ATmega328P microcontroller. The block diagram of the device, the electronic circuit and the algorithms of the system operation have been developed. In particular, the algorithm includes software in C in the Arduino IDE. The AC voltage stabilizer is designed using the modular principle, which makes it possible to quickly upgrade. The AC voltage stabilizer makes it possible to maintain the supply voltage on the load within acceptable limits with significant deviations, has the ability to adjust the voltage range of the network to operate the stabilizer, manual adjustment potentiometers.

关键词： Semiconductor device modeling Microcontrollers systems operation Software algorithms Prototypes Software Voltage control

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Development of ACS Elements Training Complexes of the Power Equipment for the Increase of Its Reliability 2

Development of ACS Elements Training Complexes of the Power ...

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2nd International Youth Conference on Radio Electronics, Electrical and Power engineering, REEPE 2020

作者： Andryushin, A.V. Lunenko, V.S. Militonyan, S.M. National Research University 'MPEI' Department of automated process control systems National Research University 'MPEI' Department of heat power and heat engineering Volzhsky Russia

ISBN: (纸本)9781728156552

The article deals with the current issue of solving problems related to process control. An important role in solving these problems is played by the training process for students and employees of enterprises, which allows simulating the operation of real equipment. Volzhsky branch of Moscow Power Engeneering Institute (MPEI) developed simulators for studying the combination of alternative and renewable sources of electric and thermal energy and a training complex for means of control, automatic regulation and technological protection. The field equipment promotes to visually demonstrate functioning of existing equipment to students, including during laboratory work. The withdrawal of equipment to all modes is not possible for technological reasons and due to the random nature of weather conditions. The simulator of a geothermal heat pump was developed based on the mathematical models of the geothermal heat pump system elements. Comparison of the experimental and simulated values shows sufficient convergence, which indicates the correctness of the mathematical model and allows us to recommend it to practical application. © 2020 IEEE.

关键词： Simulators

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Ways to Improve the Intelligence of Algorithms for Optimal Load Distribution at CHP Plants with Complex Equipment Composition 13

Ways to Improve the Intelligence of Algorithms for Optimal L...

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13th International Conference Management of Large-Scale System Development, MLSD 2020

作者： Arakelyan, E.K. Pashchenko, F.F. Andryushin, A.V. Kosoy, A.A. Yagupova, Y.Y. Leonov, M.S. National Research University "moscow Power Engineering Institute" Department of Automated Control Systems for Thermal Processes Moscow Russia V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Intelligent Control and Simulation Systems Moscow Russia

ISBN: (纸本)9781728110943

In this work, the research team reviewed problems and presented solutions integration methods, deep learning and artificial intelligence libraries, in modern software and hardware complexes for solving problems of optimum allocation of the current heat and power production in CHP plants with complex equipment connected with the necessity of considering a large number of constraints and handling large numbers of parameters. A variant of building an intelligent system is proposed, which, in addition to a number of intelligent functions, aims to evaluate immeasurable or poorly measured parameters quantitatively, identify the current technical condition of the equipment and recommend either a solution available in the database, or conduct new calculations. © 2020 IEEE.

关键词： Intelligent systems

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Synthesis of the Decision Support System for controlling the Process of Combined Destruction of Butyl Rubber Vulcanizates 3

Synthesis of the Decision Support System for Controlling the...

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3rd International Conference on control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021

作者： Tikhomirov, German Karmanov, Andrey Zhatova, Victoria Popov, Alexey Obraztsov, Nikolay Podvalny, Evgeniy Voronezh State University Department of System Analysis and Management Voronezh Russia Voronezh State Technical University Department of Automated and Computing Systems Voronezh Russia Voronezh State University Department of Geoecology of Environmental Monitoring Voronezh Russia Voronezh State University of Engineering Technologies Department of Information and Control Systems Voronezh Russia Russian Presidental Academy of National Economy and Public Administration Department of Mathematics and Information Technologies in Management Moscow Russia

ISBN: (纸本)9781665439817

the article is devoted to solving the problems of synthesis of algorithmic support of the decision support system for the controlled destruction of resin vulcanizates of butyl rubber. As an object of research, the destruction processes have been selected, which are carried out by combining external destructive factors: ionization irradiation and subsequent thermomechanical treatment. Based on the results of the system analysis of the destruction process stages as control objects, the main and cross system connections between the input, internal parameters of the process and the physical properties of the final product have been revealed. The most preferred channels for controlling the rate of physical and chemical processes occurring during destruction have been selected. Using a combination of control actions, a method and an algorithm for controlling the stages of destruction has been proposed, which allows for programmed control of the operating parameters of the process to obtain reclaimed butyl rubber with target quality indicators. The structural synthesis of the mathematical support of the decision support system, which calculates the optimal values of the process parameters in accordance with the formed search criteria, has been carried out. An algorithm for controlling the destruction process has been developed, which calculates the optimal parameters of the process using the mathematical tools, which includes the Choquet integral, the Sugeno fuzzy measure, and a genetic algorithm for solving optimization problems. © 2021 IEEE.

关键词： Irradiation

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TPP Generating Unit Technical and Economic Index Accuracy Increase 2

TPP Generating Unit Technical and Economic Index Accuracy In...

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2nd International Youth Conference on Radio Electronics, Electrical and Power engineering, REEPE 2020

作者： Arakelyan, E.K. Boldyrev, I.A. Gorban, Y.A. National Research University 'MPEI' Department of automated control systems for thermal processes Moscow Russia National Research University 'MPEI' Department of heat power and heat engineering Volzhsky Russia

ISBN: (纸本)9781728156552

Calculation of technical and economic indicators (TEI) at TPP that are equipped with automated information-measuring systems (IMS) is carried out, as a rule, automatically. In this case, the values are obtained with a period of 15 minutes based on the current values of the process parameters averaged over this period. An approach is proposed to increase the accuracy of determining the values of operational TEC, including reducing the static and dynamic components of uncertainty, using the example of the gross coefficient of a boiler unit. The application of the described methods leads to a reduction in uncertainty, more rapid obtaining of TEC values, which favorably affects the equipment control mode. © 2020 IEEE.

关键词： accuracy analysis automated control system error technical and economic indexes

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