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20th IEEE International Conference on Modern electrical and Energy Systems, MEES 2021

作者： Kovac, Dobroslav Melnykov, Viacheslav Technical University of Kosice Faculty of Electrical Engineering and Informatics Dept. of Theoretical and Industrial Electrical Engineering Kosice Slovakia Energy Saving and Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Institute of Electromechanics Kremenchuk Ukraine

ISBN: (纸本)9781665423663

the phenomenon of induction heating is a very energy efficient way of heating bodies. However, it depends on various factors, making the problem highly nonlinear. Mathematical analysis of this problem is in most cases very complex and is reduced to simple cases. Further knowledge of induction heating systems is gained in production environments, but these trial and error procedures are long and expensive. Another approach to reduce the above disadvantages is numerical models of the induction heating problem. This paper deals with a simulation model of the induction heating problem. A simulation model of the induction heating system in the COMSOL Multiphysics program is created. Equivalent inductance and equivalent resistance of the induction coil and workpiece connection during the heating and temperature change process are obtained for different parameters of the alternating current flowing through the induction coil. The model includes nonlinear electromagnetic and thermal properties of the workpiece material. The simulation model provides basic information about the processes taking place in the heated material. To verify the simulation model, experimental measurements are performed using the designed and implemented power converter. © 2021 IEEE.

关键词： Multiphysics

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Reducing the energy consumption required for the disassembly process implemented on an assembly and disassembly line

Reducing the energy consumption required for the disassembly...

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International Conference on control Systems and Computer Science (CSCS)

作者： Paun Marius-Adrian Dragomir Otilia Elena Dragomir Florin Iliescu Sergiu Stelian Minca Eugenia Duca Octavian Gabriel Gurgu Ion Valentin Department of Automation and Industrial Informatics University “Politehnica” of Bucharest Bucharest Romania Faculty of Electrical Engineering Electronics and Information Technology Valahia University of Targoviste Targoviste Romania Faculty of Automatic Control and Computers University “Politehnica ” of Bucharest Bucharest Romania Department of Automation and Electrical Engineering University “Dunarea de Jos ” of Galati Galati Romania Institute of Multidisciplinary Research for Science and Technology Valahia University of Targoviste Targoviste Romania

This paper proposes a method to reduce the energy consumption of an industrial disassembly process implemented on a production line by using an energy-efficient secondary disassembly process. In the case of defective products, the flow directs the simple product with priority to be disassembled in workstation (WS) 7. Therefore, all defective products are redirected to WS7. The disassembly of all simple products in WS7 is problematic for two reasons: the power consumption of WS7 is high compared to the other workstations, additionally there is an increased possibility of bottlenecks in the production line due to the high disassembly time. The proposed solution to reduce the possibility of deadlock and reduce power consumption is to redirect the defective products to the flexible cell (FC). Handling robots located in neighboring stations will participate collaboratively in the disassembly process. The control structure ensures that the two robots "meet" in the boundary plane of WS3 with WS4 and disassemble each component through collaborative tasks. Collaborative control of disassembly is thought of as a solution to the global "fluidization" of production, removing the bottleneck, from the overall flow, but also as an ingenious solution to reduce energy consumption.

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LQR-PID control Design of a Buck Converter

LQR-PID Control Design of a Buck Converter

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IEEE Annual Southern Power Electronics Conference (SPEC)

作者： Carlos A. Torres-Pinzón F. Flores-Bahamonde H. Ramírez-Murillo Oswaldo López-Santos C. J. Mojica-Casallas S. Alireza Davari Faculty of Electronic Engineering Universidad Santo Tomás Colombia Energy Transformation Center Faculty of Enigineering Universidad Andres Bello Chile Department of Electrical Engineering Faculty of Engineering Universidad de La Salle Bogotá Colombia Group of Automatic Control and Industrial Electronics Rovira i Virgili University Tarragona Spain Department of Electrical Engineering Shahid Rajaee Teacher Training University Tehran Iran

In this paper, an optimal proportional integral derivative (PID) controller based on a linear quadratic regulator (LQR) is proposed for the regulation of the output voltage of a buck converter. Specifically, the work proposes to determine the gains of the PID controller through an LQR state feedback technique, formulated as a Linear Matrix Inequality (LMI), which allows for ensuring stability and guarantee a predefined performance index. Simulation results using PSIM are presented validating the theoretical study.

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Comparison of Three Artificial Intelligence Methods for Predicting 90% Quantile Interval of Future Insulin Sensitivity of Intensive Care Patients

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IFAC-PapersOnLine 2023年第2期56卷 2091-2095页

作者： Bálint Szabó Ákos Szlávecz Béla Paláncz Katalin Kovács J. Geoffrey Chase Balázs István Benyó Budapest University of Technology and Economics Faculty of Electrical Engineering and Information Technology Department of Control Engineering and Information Technology Budapest Hungary Department of Informatics Széchenyi István University Győr Hungary Department of Mechanical Engineering University of Canterbury Christchurch New Zealand

Three alternative artificial intelligence-based insulin sensitivity prediction methods are compared in this study. Insulin sensitivity prediction is an essential step in calculating the optimal treatment options in model-based glycemic control protocol of insulin-dependent intensive care patients. The prediction methods must predict not only the expected value of the insulin sensitivity for a given time horizon but also the 90% confidence interval making the prediction problem more specific compared to the common prediction problems. All of the proposed prediction methods - proposed in our previous publications - use different neural network models: a classification deep neural network model, a Mixture Density Network based model, and a Quantile regression based model. The patent data set used for the development and accuracy assessment is from 3 clinical ICU cohorts, including 820 treatment episodes of 606 patients and 68,631 hours of treatment. To evaluate the efficacy of the prediction in the context of clinical requirements, three metrics are used Success rate, Interval ratio, and I-Score are applied.

关键词： Insulin Sensitivity Tight Glycaemic control Prediction Method Artificial Intelligence Artificial Neural Network

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Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence

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Computers, Materials & Continua 2021年第6期67卷 3143-3160页

作者： S.M.Atiqure Rahman Hegazy Rezk Mohammad Ali Abdelkareem M.Enamul Hoque Tariq Mahbub Sheikh Khaleduzzaman Shah Ahmed M.Nassef Department of Sustainable and Renewable Energy Engineering University of SharjahSharjahUAE College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz University11911Al-KharjSaudi Arabia Electrical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Chemical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Department of Biomedical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Mechanical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Infrastructure Engineering Melbourne School of EngineeringThe University of MelbourneAustralia Computers and Automatic Control Engineering Department Faculty of EngineeringTanta UniversityEgypt

The main goal of this research is to develop and apply a robust Artificial Neural Networks(ANNs)model for predicting the characteristics of the osmotically drying treated potato and apple samples as a model heat-sensitive product in vacuum contact *** salt and sugar solutions were used as the osmotic solutions at 27◦*** of experiments were performed at various temperatures of 35◦C,40◦C,and 55◦C for conduction heat input under vacuum(−760 mm Hg)*** experiments were also performed in a pure vacuum without heat *** moisture content(DMC),effective moisture diffusivity,and mass flux were considered as the performance parameters in this *** revealed that the osmotic dehydration using a concentrated sugar solution shows a higher reduction in the initial moisture loss of 19.87%compared to 5.3%in the salt ***,a significant enhancement of drying performance of about 27%in DMC was observed for both samples at vacuum and 40◦C compared to pure vacuum drying *** the experimental data,a robust artificial neural network(ANN)was proposed to describe the osmotic dehydration’s behavior on the drying *** ANN model outputs are the dimensionless moisture contents(DMC),the diffusivity,and the mass *** the ANN inputs were the drying time,the percent of sugar solution,and the percent of salt *** the ANN apple’s model,the minimum root mean square error(RMSE)values were 0.0261,0.0349 and 0.0406,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the above three parameters’determination values were 0.9909,0.9867 and 0.9744,*** the ANN potato’s model,the minimum RMSE values were 0.0124,0.0140 and 0.0333,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the parameters’values were found 0.9969,0.9968 and 0.9736,***,the ANN model’s prediction has a perfect agreement with th

关键词： Artificial neural network prediction modeling osmotic drying kinetics

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Flexible control of the Interline DC Power Flow controller Using Virtual Capacitor in VSC-HVDC Grids

Flexible Control of the Interline DC Power Flow Controller U...

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Power Electronic and Drive Systems and Technologies Conference (PEDSTC)

作者： Mirhamed Pourmirasghariyan Mirsajed Pourmirasghariyan Seyed Saeid Heidari Yazdi Seyyed Yousef Mousazadeh Mousavi Kumars Rouzbehi G. B. Gharehpetian Departement of Electrical and Computer Engineering Amirkabir University of Technology Tehran Iran School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Department of Electrical & Computer Engineering School of Engineering and Digital Science Nazarbayev University Nur-Sultan Kazakhstan Faculty of Engineering and Technology University of Mazandaran Sari Iran Department of Systems and Automatic Control Engineering University of Seville Seville Spain

The performance of Interline DC Power Flow controllers (IDC-PFCs) in Voltage Source Converters (VSC)-based High Voltage Direct Current (HVDC) grids, can be affected due to different issues. The current limitation of HVDC lines, the voltage limitation of HVDC buses, and DC voltage of the IDC-PFC intermediary capacitor prevent effective and efficient operation of IDC-PFCs. In this paper, it is shown that this issue can be overcome by using a virtual capacitor in parallel with the IDC-PFC intermediary capacitor. Also, an energy control-based scheme is proposed for the operation of IDC-PFCs in VSC-HVDC grid. The benefits of using the virtual capacitor are: widening the operational area of the IDC-PFCs for the determined duty cycle and injecting more voltage in series to the interconnected HVDC line to control the related HVDC line current. The proposed solution is successfully evaluated on a CIGRE three-terminal VSC-HVDC grid which is modeled by linearized space-state equations.

关键词： Fluctuations HVDC transmission Capacitors High-voltage techniques Boosting Mathematical models Power conversion

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Influence of Reconstruction Algorithms on Harmonic Analysis in electrical Impedance Tomography

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IFAC-PapersOnLine 2023年第2期56卷 5615-5619页

作者： Erik Stein Rongqing Chen Alberto Battistel András Lovas Balazs Benyó Knut Möller Institute of Technical Medicine (ITeM) Furtwangen University (HFU) Villingen-Schwenningen Germany Faculty of Engineering University of Freiburg Freiburg Germany Department of Anaesthesiology and Intensive Therapy Kiskunhalas Semmelweis Hospital Kiskunhalas Hungary Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Control Engineering and Information Technology Budapest Hungary

electrical Impedance Tomography (EIT) is a commonly used imaging technique for monitoring respiration on the bedside and it might have the potential for monitoring lung perfusion. Several signal processing approaches have been developed to separate respiration and perfusion. In this contribution we investigated whether different image reconstruction algorithms influence the separation results provided by the harmonic analysis approach. We compared the algorithms used by Dräger, the Gauss-Newton method with different regularizers as well as the GREIT algorithm. The comparison was carried out using a retrospective EIT dataset from a COVID-19 patient. The results gave insight that the harmonic analysis separation approach is dependent on the reconstruction algorithms. Both, the separation of the perfusion and the separation of the respiration showed differences between the reconstruction algorithms when carried out pixel-wise. On the other hand, the separations carried out on the global impedance only showed marginal differences for the separated perfusion.

关键词： Medical imaging and processing Developments in measurement, signal processing Decision support and control

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Fractional-Order control of a Wind Turbine Using Manta Ray Foraging Optimization

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Computers, Materials & Continua 2021年第7期68卷 185-199页

作者： Hegazy Rezk Mohammed Mazen Alhato Mohemmed Alhaider Soufiene Bouallègue College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia University61517MiniaEgypt Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of TunisTunis1002Tunisia High Institute of Industrial Systems of Gabès University of GabèsGabès6011Tunisia

In this research paper,an improved strategy to enhance the performance of the DC-link voltage loop regulation in a Doubly Fed Induction Generator(DFIG)based wind energy system has been *** proposed strategy used the robust Fractional-Order(FO)Proportional-Integral(PI)control *** FOPI control contains a non-integer order which is preferred over the integer-order control owing to its *** offers extra flexibility in design and demonstrates superior outcomes such as high robustness and *** optimal gains of the FOPI controller have been determined using a recent Manta Ray Foraging Optimization(MRFO)*** the optimization process,the FOPI controller’s parameters are assigned to be the decision variables whereas the objective function is the error racking that to be *** prove the superiority of the MRFO algorithm,an empirical comparison study with the homologous particle swarm optimization and genetic algorithm is *** obtained results proved the superiority of the introduced strategy in tracking and control performances against various conditions such as voltage dips and wind speed variation.

关键词： Renewable energy modeling wind turbine doubly fed induction generator fractional order control manta ray foraging optimization

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Research to Improve the Quality of Servo Motor controller

Research to Improve the Quality of Servo Motor Controller

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IEEE International Conference on control in Technical Systems (CTS)

作者： Hoang Thi Thu Giang Phan Thanh Chung Tran Thuy Van Nguyen Duy Khanh Faculty of Electrical Engineering HaNoi University of Industry Hanoi Vietnam Department for Standards Metrology and Quality Military Institute of Mechanical Engineering Hanoi Vietnam Department of Automatic Control Systems Saint Petersburg Electrotechnical University “LETI” Saint Petersburg Russia

To overcome the disadvantages that traditional controllers bring, in this study, it is proposed to use fractional order controller $\mathrm{PI}^{\lambda}$ instead of conventional PI controller, the research also focuses on improving the quality of the controller. the order controller itself by selecting the computational methods, the discretization methods, and the implementation methods that give the best results. The study conducted simulations and experiments and compared the results with conventional PI controllers, in order to demonstrate the effectiveness of the fractional order controller.

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The Use of Mathematical Fractional-Calculus to Modeling of Changes in Concentrations of Polycyclic Aromatic Hydrocarbons (Pahs) in Sewage Sludge

SSRN

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SSRN 2024年

作者： Wlodarczyk-Makula, Maria Wlodarczyk, Maciej Czestochowa University of Technology Faculty of Infrastructure and Environment 69 Dąbrowskiego Str. Czestochowa42-201 Poland Kielce University of Technology Faculty of Electrical Engineering Automatic Control and Computer Science 7 Av. Tysiąclecia Państwa Polskiego Kielce25-314 Poland

Sewage sludge constitutes waste generated during wastewater treatment in any treatment plant. Sludge that meets the quality conditions specified in the legal regulations, due to fertilising properties, can be used for natural purposes (use in the recovery process on the surface of the earth or for the reclamation cover of landfills). However, sewage sludge contains various organic microcontaminants, such as, for example, PAHs that are toxic to aquatic and soil organisms, and the legal regulations do not specify the acceptable concentrations of these compounds. However, restrictions concerning PAHs in European legislation are proposed. The aim of the study was to use fractional order derivatives to develop a mathematical model describing changes in the concentration of polycyclic aromatic hydrocarbons (PAHs) in sewage sludge stored in natural conditions. The concentrations of selected PAHs were monitored for 3 months at fixed time intervals under conditions reflecting the use of sludge for natural purposes. A qualitative and quantitative analysis of PAHs was carried out using the GC-MS system. For the mathematical description of changes in the concentration values of individual compounds, fractional order derivatives were used and approximation was carried out using the classical equation of the first order. The developed mathematical model allows for predicting changes in PAH concentrations regarding sludge as well as determining the time necessary to obtain the required concentration of these compounds. © 2024, The Authors. All rights reserved.

关键词： Polycyclic aromatic hydrocarbons

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