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5th International Conference on control systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2023

作者： Sandler, Ilya L Ivanov, Dmitriy V Terekhin, Michail A Bragina, Irina N Lebakin, Ilya V Zaripov, Ruzil A Samara State University of Railway Transport Dept. Digital Technologies Samara Russia Samara State Technical University Dept. Automation and Control in Technical Systems Samara Russia Samara National Research University Dept. Information Systems Security Samara Russia Samara State University of Transport Higher School of Medical Engineering Institute of Innovative Development FSBEI HE SamSMU MOH Russia Dept. Digital Technologies Samara Russia

ISBN: (纸本)9798350309126

The article presents a simulation model of a pneumatic drive for electrodes of a stationary contact spot welding machine. Thanks to the developed model, it becomes possible to analyze the system, as well as visually study its operation. The result of modeling the system is the obtained transients of the elements of the pneumatic system. The developed simulation model adequately describes the state and behavior of a real system of pneumatic compression of electrodes. The work is of interest to pneumatic engineers, designers and other specialists working in the field of pneumatics and can be used for more accurate and efficient design, analysis and optimization of not only a specific system of pneumatic compression of electrodes, but also pneumatic systems in general. © 2023 IEEE.

关键词： Spot welding

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface 1

Optical Evanescent Field for Direct Observation of Sub-100nm...

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1st International Conference on Robotics, engineering, Science, and Technology, RESTCON 2024

作者： Khajornrungruang, Panart Permpatdechakul, Thitipat Suzuki, Keisuke Blattler, Aran Terayama, Yutaka Goto, Daiki Phaisalpanumas, Pipat Bun-Athuek, Natthaphon Phunopas, Amornphun Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Division Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Fukuoka Japan Kyushu Institute of Technology Iizuka-Shi Mechanical Information Science and Technology Division Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Production and Robotics Engineering Bangkok Thailand Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Course Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Industiral Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Bangsue College of Industrial Technology Dept. of Mechanical Engineering Technology Bangkok Thailand

ISBN: (纸本)9798350348842

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes. © 2024 IEEE.

关键词： Visualization

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Transfer and Bayesian Learning Approaches for Land Use and Land Cover Classification

Transfer and Bayesian Learning Approaches for Land Use and L...

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Emerging Smart Computing and Informatics (ESCI), Conference on

作者： Zainab Malik Aisha Sir Elkhatem Gokhan Bilgin Dept. of Computer Engineering Yildiz Technical University Istanbul Turkey Dept. of Control and Automation Engineering Yildiz Technical University Istanbul Turkey

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

Land use and land cover (LULC) classification is essential for understanding the impact of both human activities and natural processes on the Earth’s surface. This classification plays a critical role in deforestation, urban planning, and damage assessment. However, traditional machine learning techniques often face challenges in achieving consistent accuracy in diverse datasets. In this study, we implement transfer learning and Bayesian learning approaches to enhance the accuracy and robustness of LULC classification. Transfer learning leverages knowledge from previous classification problems, while Bayesian learning addresses uncertainties in the classification process. Using the Remote Sensing Image Classification Benchmark (RSI-CB128) dataset, the study evaluates the performance of Bayesian Convolutional Neural Networks (CNN), Mobile Neural Networks (MobileNet), Inception Neural Networks (InceptionNet), Densely Connected Convolutional Networks (DenseNet) and Efficient Neural Networks (EfficientNet). The study also investigates the impact of varying the Bayesian layers on model performance, finding that a medium number of layers optimally captures model uncertainty. The results indicate that the transfer learning models, particularly MobileNet, achieved the highest accuracy of 97. 48% compared to 90. 33% for Bayesian CNN. These findings suggest that transfer learning techniques are highly effective for LULC classification, providing a reliable method for practical applications in remote sensing.

关键词： Deforestation Accuracy Uncertainty Computational modeling Transfer learning Neural networks Urban planning Land surface Bayes methods Convolutional neural networks

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A New Robust Hybrid Active Noise control System 8

A New Robust Hybrid Active Noise Control System

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8th International Conference on Signal and Image Processing, ICSIP 2023

作者： Wang, Z. Xiao, Y. Ma, Y. Ma, L. Khorasani, K. Prefectural University of Hiroshima Dept. of Management & Information Systems Hiroshima734-8558 Japan Institute of Automation Jiangnan University Wuxi214122 China Concordia University Dept. of Electrical & Computer Engineering Montreal Canada

ISBN: (纸本)9798350397932

The conventional hybrid active noise control (ANC, HANC) may significantly degrade if the reference signal for the feedforward ANC (FFANC) subcontroller consists of not only a broadband component but also a low-frequency sinusoidal component that is uncorrelated or partially correlated with the narrowband noise component that is attenuated by the feedback ANC (FBANC) subcontroller. In this paper, a new robust HANC system is proposed to mitigate the performance degradation resulting from the low-frequency sinusoidal component. A band-pass filter bank (BPFB) is applied to the FFANC reference signal to separate the low-frequency sinusoidal component from the broadband one and each of them is fed to an FFANC subcontroller that solely focuses on a single noise component. A supporting filter takes the extracted broadband component and the residual error as its input and desired signal, respectively. The same BPFB is then applied to the supporting filter error in order to separate the remaining low-frequency sinusoidal component from the narrowband component that persists in the residual error. The use of the two BPFBs and the supporting filter allows the three HANC subcontrollers to operate practically independently, each taking care of one of the pre-processed noise components which are uncorrelated with each other irrespective of the relationship between the two original noise sources. Extensive simulations are provided to demonstrate the improved effectiveness and robust capability of the proposed HANC as compared to its counterpart, even in a case that the low-frequency sinusoidal component in the FFANC reference signal is partially corrected with the primary narrowband noise component that is targeted by the FBANC. © 2023 IEEE.

关键词： Filter banks

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Lightweight Direct Memory Access on FPGA Using AXI Protocol

Lightweight Direct Memory Access on FPGA Using AXI Protocol

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2023 Congress in Computer Science, Computer engineering, and Applied Computing, CSCE 2023

作者： Kidwell, Adam Horvath, Matthew P. Hanna, Darrin Jones, Bryant Oakland University Dept. of Electrical and Computer Engineering Rochester HillsMI United States Intrepid Control Systems TroyMI United States

ISBN: (纸本)9798350327595

This paper presents a lightweight AXI DMA controller architecture useful for embedded systems that do not require fully featured DMA controllers. Simulation is accomplished with VUnit, and implementation results are obtained on a Xilinx XC7Z010CLG400-1 FPGA. When compared with Xilinx's AXI DMA controller with the same configuration, the presented controller utilizes between 16 and 82% fewer resources with comparable speed. © 2023 IEEE.

关键词： AXI DMA Embedded systems FPGA

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Current-limiting control of interlinking converter to maintain power balance in hybrid microgrids

Current-limiting control of interlinking converter to mainta...

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2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022

作者： Skentzos, Panagiotis Konstantopoulos, George C. The University of Sheffield Dept. of Automatic Control and Systems Engineering Sheffield United Kingdom University of Patras Dept. of Electrical and Computer Engineering Patra Greece

ISBN: (数字)9781665480321

ISBN: (纸本)9781665480321

In this paper, a novel nonlinear current-limiting controller that maintains the desired power balance in a hybrid microgrid, is proposed for interlinking converters (ICs). The RMS value of the IC current is analytically proven to remain below a desired maximum value at all times using nonlinear ultimate boundedness theory, without limiting separately the d- and q-axis current components and without using adaptive saturation units, as done in conventional approaches. Furthermore, the stability of the closed loop system is investigated through root locus analysis for different values of the controller gain. Finally, the performance of the proposed control scheme is validated through detailed simulation results of an interlinking converter connected to both an AC and a DC subgrid. © 2022 IEEE.

关键词： controllers

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Induction Furnace Virtual Temperature Sensor Based on Robust Adaptive Estimation 21

Induction Furnace Virtual Temperature Sensor Based on Robust...

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21st International Multi-Conference on systems, Signals and Devices, SSD 2024

作者： Sa'Id, Waladin K. Jassim, Marwa Fadhel Raafat, Safanah M. Jasim, Omar F. Al-Mustaqbal University College BME Dept. Babylon Iraq University of Technology-Iraq Control and Systems Engineering Dept Baghdad Iraq Grid Solutions Ltd GE Vernova Stafford United Kingdom

ISBN: (纸本)9798350374131

This paper focuses on the development of a virtual thermal sensor for estimating the metal charge temperature in an induction metal melting furnace. In foundry workshops, it is crucial to accurately measure the existing temperature of the metal charge. However, continuous temperature measuring instruments are typically unavailable for such harsh working operating conditions. The proposed method is used consistently to estimate the charge melting temperature using a single temperature sensor inserted in an easily accessible location in the furnace lining. The virtual sensor is created as a model-based dynamical observer, which means it employs a mathematical model to estimate the charge temperature based on the furnace's lining temperature measurement. The authors developed a Multiple Model Adaptive Estimator (MMAE) to assure the reliability of using the virtual sensor. This estimator is designed to account for uncertainties such as variations in initial conditions, power disruptions during the melting process, and variations in average charge temperature resulting from density differences. Therefore, this paper presents an efficient method for estimating the temperature of metal charges in an induction furnace using a virtual sensor, which can be a valuable tool in foundry workshops where continuous temperature measurements are not readily available. © 2024 IEEE.

关键词： Induction heating

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Optimal Dispatch of Cogeneration with Thermal and Battery Energy Storage for BEMS Subject to Load Demand Uncertainty 19

Optimal Dispatch of Cogeneration with Thermal and Battery En...

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19th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

作者： Trairat, Parichada Banjerdpongchai, David Chulalonkorn University Intelligent Control Automation of Process Systems Research Unit Dept of Electrical Engineering Bangkok10330 Thailand

ISBN: (纸本)9781665485845

This paper presents optimal dispatch of cogeneration with thermal energy storage (TES) and battery energy storage (BES) for Building Energy Management System (BEMS) subject to load demand uncertainty. The energy supply of BEMS consists of combined heat and power (CHP), an auxiliary boiler, an absorption chiller, battery energy storage (BES), spinning reserve (SR) and power grids. Previous research related to CHP for BEMS provides optimal operation to minimize total operating cost (TOC), but their operation has only CHP and TES for supply the electrical energy. In this paper, we propose to add BES and SR which aims to supply the electrical energy in the building subject to load demand uncertainty. The load demand uncertainty arises from the difference between the forecasted load demand and the actual load demand. We apply artificial neural network (ANN) to analyze the load demand uncertainty. BES and SR are utilized to tackle the load uncertainty. Then, we design economic optimal operationwith TOC as the objective function. We apply the proposed BEMS with a large shopping mall to demonstrate improvements in energy efficiency. The numerical results manifest that the proposed dispatch can reduce 12.52% of TOC compared to the previous BEMS without BES and SR. © 2022 IEEE.

关键词： Uncertainty analysis

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Fractional-order non-ideal isolation transformer modeling and parameter estimation for flyback power converters

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IFAC-PapersOnLine 2024年第12期58卷 203-208页

作者： Justus Nwoke Jairo Viola YangQuan Chen Mechatronics Embedded Systems and Automation (MESA) Lab Dept. of Mechanical Engineering University of California Merced CA 95343 USA

An accurate component modeling of power electronics converters is crucial to understanding their real performance. Thus, a fractional-order representation of energy storage components like inductors and capacitors could be helpful to refect the hidden dynamics of a power converter in voltage regulation tasks. This paper presents the fractional-order non-ideal modeling and behavioral matching of an isolation transformer used on a flyback converter. A multiphysics simulation model is built to replicate the flyback converter non-ideal dynamics. It is optimized to precisely refect the real converter response by testing various transformer configurations, including ideal, non-ideal, integer and fractional-order. The transformer parameters are adjusted using raw data from the physical power converter. Likewise, the fractional-order energy storage elements are represented using discrete circuit elements for its realization. The results obtained reveal that using a non-ideal fractional-order transformer on the flyback converter with a non-integer inductance provides the maximum ft for the power converter operation.

关键词： Flyback converter non-ideal transformer Fractional-order modeling power electronics

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Will Fractional Order Model Based MPC Save control Energy?

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IFAC-PapersOnLine 2024年第12期58卷 490-495页

作者： Shiang Cao YangQuan Chen Mechatronics Embedded Systems and Automation Lab (MESA) Dept. of Mechanical Engineering University of California Merced CA 95343 USA

In real-world situations, many complex processes exhibit fractional order dynamic characteristics. In this context, the common integer order modeling methods may not appropriately capture the physics of these processes, leading to a less satisfactory controller design. This paper conducts a comparative analysis between the First order plus time delay (FOPTD) model and the Time Delay with Single Fractional Pole (TDWFP) model. These two modeling methods are employed to characterize a one-dimensional heat propagation process and two model predictive controllers are developed based on the models. The results demonstrate a better fitting performance in both time and frequency response with the TDWFP model. Furthermore, the TDWFP model-based Model Predictive control exhibits reduced sensitivity to the prediction horizon and requires low control input energy. This indicates the potential of using fractional order model in MPC for improved control energy efficiency in practical applications.

关键词： Fractional Order Modeling Model Predictive control Energy Efficiency

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