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International (EPE-PEMC) Power Electronics and Motion Control Conference

作者： Tomislav Ivaniš Marinko Kovačić Martin Makar Željko Jakopović Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (数字)9798350385236

ISBN: (纸本)9798350385243

Recently, active gate drivers (AGD) have been proposed as a solution to regulate fast switching for Silicon carbide (SiC) MOSFETs. This paper explores the optimization and optimum control of AGD for SiC MOSFETs to improve efficiency and potentially reduce electromagnetic interference (EMI) through adaptive switching strategies. It presents a comparative analysis of two AGD methods, pullback-like and staircase-like sequences, highlighting their impact on switching dynamics and EMI mitigation. By utilizing simulation models, the study evaluates the feasibility of pre-mapping and multi-objective optimization for real-time control and investigates the theoretical spectral amplitude calculation to achieve targeted EMI attenuation. The research outlines the use of two switching optimization approaches, and applies them to a three-phase inverter scenario, aiming to demonstrate the advantages of optimized AGD over conventional methods. This study in general focuses on advanced gate-driving techniques for power electronics giving the guidelines for future research in gate-driving strategies.

关键词： MOSFET Silicon carbide Shape Electromagnetic interference Switches Logic gates Inverters Real-time systems Voltage control Optimization

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Revised Correction Factors in the Specht's Model for Calculation of the Transformer Inrush Current

Revised Correction Factors in the Specht's Model for Calcula...

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International Conference on Electrical Machines, ICEM

作者： Damir Žarko Zlatko Hanić Department of Electrical Machines Drives and Automation Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (数字)9798350370607

ISBN: (纸本)9798350370614

In this study, correction factors are introduced for Specht's analytical model, which is used to estimate the inrush current peaks of transformers and their decay rates. The factors are derived for a set of five transformers using a least squares approach to minimize the discrepancies between the inrush current values from the Specht's model and the transient 2D finite element (FE) simulations. The 2D FE model uses an equivalent permeability of air and copper to mimic the flux linkage vs. current characteristics of the 3D FE model and effectively accounts for the effects of air core inductance at extreme saturation. The study considers the winding connections YNyn and YNd under the assumption that the connection to the grid is made on both the high voltage and the low voltage side.

关键词： Analytical models Three-dimensional displays Atmospheric modeling Windings Transformer cores Finite element analysis Power transformers Circuit faults Transient analysis Inrush current

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Comparison of Voltage Balancing Methods for Supercapacitor-Based Elevator Energy Storage

Comparison of Voltage Balancing Methods for Supercapacitor-B...

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International (EPE-PEMC) Power Electronics and Motion Control Conference

作者： Martin Makar Martina Kutija Marinko Kovačić Tomislav Ivaniš Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (数字)9798350385236

ISBN: (纸本)9798350385243

This paper specifies the requirements for voltage balancing methods for supercapacitor-based Elevator Energy Storage Systems (EESS) and analyses the suitability of existing voltage balancing methods for use in EESS. Application-specific requirements for supercapacitors in EESS are given, focusing on the balancing current and the balancing speed. The existing five groups of active balancing methods: adjacent cell to cell, direct cell to cell, cell to bank, bank to cell and any cell to any cell are analysed and their suitability for application in EESS based on supercapacitors is verified by simulation tests. The simulation tests are performed for a supercapacitor bank consisting of 100 cells. The methods are tested for two cases: when the balancing takes place after charging the supercapacitor bank and when the balancing takes place during the charging process of the SC bank. The advantages and disadvantages of each method are discussed as well as their suitability for supercapacitor-based EESS.

关键词： Low voltage Simulation Focusing Voltage Supercapacitors Capacitance Elevators Power electronics Voltage control Motion control

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Sustainable Diffusion-Based Incentive Mechanism for Generative AI-Driven Digital Twins in Industrial Cyber-Physical Systems

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 139-149页

作者： Wen, Jinbo Kang, Jiawen Niyato, Dusit Zhang, Yang Mao, Shiwen Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing210016 China Guangdong University of Technology School of Automation Guangzhou510006 China Nanyang Technological University College of Computing and Data Science Singapore639798 Singapore Auburn University Department of Electrical and Computer Engineering AuburnAL36849 United States

Industrial Cyber-Physical Systems (ICPSs) are an integral component of modern manufacturing and industries. By digitizing data throughout product life cycles, Digital Twins (DTs) in ICPSs enable a shift from current industrial infrastructures to intelligent and adaptive infrastructures. Thanks to data process capability, Generative Artificial Intelligence (GenAI) can drive the construction and update of DTs to improve predictive accuracy and prepare for diverse smart manufacturing. However, mechanisms that leverage Industrial Internet of Things (IIoT) devices to share sensing data for DT construction are susceptible to adverse selection problems. In this paper, we first develop a GenAI-driven DT architecture in ICPSs. To address the adverse selection problem caused by information asymmetry, we propose a contract theory model and develop a sustainable diffusion-based soft actor-critic algorithm to identify the optimal feasible contract. Specifically, we leverage dynamic structured pruning techniques to reduce parameter numbers of actor networks, allowing sustainability and efficient implementation of the proposed algorithm. Numerical results demonstrate the effectiveness of the proposed scheme and the algorithm, enabling efficient DT construction and updates to monitor and manage ICPSs. © 2023 IEEE.

关键词： Smart manufacturing

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Multivariable Decoupling Control of Civil Turbofan Engines Based on Fully Actuated System Approach

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Journal of Systems Science & Complexity 2023年第3期36卷 947-959页

作者： PENG Kai WANG Hongxia ZHANG Huanshui ZHANG Zhaorong YANG Fan School of Power and Energy Northwestern Polytechnical UniversityXi’an 710072China School of Electrical and Automation Engineering Shandong University of Science and TechnologyQingdao 266590China Department of Applied Mathematics The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina. Xi’an Aeronautics Computing Technique Research Institute AVICXi’an 710068China

Gas turbine engines must be operated by means of control,and how to achieve multivariable control decoupling with aero-engine control constraints is an open thorny issue attracting increasingly more *** paper considers the multivariable decoupling problems of aero-engines by using a compound controller,which originates from the fact that it is impossible to eliminate all the nonlinear dynamics of system to obtain desired constant linear closed-loop system by using full actuated control because of modeling errors and some physical *** controllers are involved in the compound *** is a fully actuated controller and the other is classical feedback *** order to use fully actuated control and maintain the accuracy of engine model,a full state scheduling linear parameter-varying(LPV)modeling method is proposed based on fuzzy neural network *** a general input matrix of the system,its generalized inverse is applied to design fully actuated controller to result in a pseudolinear *** with a feedback controller and control limiter,the control synthesis is *** simulation shows that the proposed method is possessed of a better decoupling and tracking effect compared with traditional control approach.

关键词： Compound control decoupling control fully actuated control turbofan engine

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Emo-LSTM: An Emotion Recognition Model of ECG Data Based on Long Short-Term Memory 24th

Emo-LSTM: An Emotion Recognition Model of ECG Data Based on ...

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24th Conference on Man-Machine-Environment System engineering, MMESE 2024

作者： Tian, Zhen Liu, Haoting Mi, De Yi, Dewei Li, Qing Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China College of Computing Birmingham City University BirminghamB4 7BD United Kingdom Department of Computing Science University of Aberdeen AberdeenAB24 3UE United Kingdom

ISBN: (纸本)9789819771387

In order to accurately monitor human emotions during work, we develop a deep learning model based on electrocardiogram (ECG) data. First, we set up an ECG data acquisition system and generate standard data set. Second, a model combining convolutional neural network (CNN), Long Short-Term Memory (LSTM) and attention mechanism is used for training and testing. Finally, the recognition results are evaluated using evaluation metrics such as Precision, Recall and F1 Score. Experimental results show that the Precision of the model to identify abnormal emotional states is 85.48%, the Recall is 92.16%, and the F1 score is 88.68%. The development of this technology provides a new tool for emotional monitoring in workplace, which promises to improve productivity and safety through timely interventions. © Beijing KeCui Man-Machine-Environment System engineering Technology Research Academy 2024.

关键词： Convolutional neural networks

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Improved Demonstration-Knowledge Utilization in Reinforcement Learning

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第5期5卷 2139-2150页

作者： Liu, Yanyu Zeng, Yifeng Ma, Biyang Pan, Yinghui Gao, Huifan Zhang, Yuting Xiamen University Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision Department of Automation Xiamen361102 China Northumbria University Department of Computer and Information Sciences NewcastleNE1 8ST United Kingdom Minnan Normal University Department of Computer Science Zhangzhou363000 China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China

Reinforcement learning (RL) has made great success in recent years. Generally, the learning process requires a huge amount of interaction with the environment before an agent can achieve acceptable performance. This motivates many techniques, such as incorporating prior knowledge which is usually presented as experts' demonstration, and using a probability distribution to represent state-and-action values, to accelerate the learning process. The methods perform well when the prior knowledge is genuinely correct and no much change occurs to the learning environment. However, the requirement is not perfectly realistic in many complex applications. The demonstration knowledge may not reflect the true environment and even be full of noise. In this article, we introduce a dynamic distribution merging method to improve knowledge utilization in a general RL algorithm, namely Q-learning. The new method adapts a normal distribution to represent state-action values and merges the prior and learned knowledge in a discriminative way. We theoretically analyze the new learning method and demonstrate its empirical performance over multiple problem domains. © 2020 IEEE.

关键词： Merging

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Guest Editorial Enabling Technologies and Systems for Industry 5.0: From Foundation Models to Foundation Intelligence

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2024年第11期54卷 6496-6499页

作者： Tang, Ying Tian, Yonglin Lin, Yilun Lv, Chen Fanti, Maria Pia Rowan University Department of Electrical and Computer Engineering GlassboroNJ08028 United States Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China Institute of Automation Chinese Academy of Sciences Beijing100190 China Shanghai AI Laboratory Urban Computing Laboratory Shanghai200232 China Nanyang Technological University School of Mechanical and Aerospace Engineering Jurong West639798 Singapore Polytechnic University of Bari Department of Electrical and Information Engineering Bari70126 Italy

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Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm 24th

Extraction of Forearm Near-Infrared Vascular Skeleton Based ...

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24th Conference on Man-Machine-Environment System engineering, MMESE 2024

作者： Ji, Qianru Liu, Haoting Tian, Zhen Wang, Song Li, Qing Yi, Dewei Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Nephrology Peking University Third Hospital Beijing100191 China Department of Computing Science University of Aberdeen AberdeenAB24 3UE United Kingdom

ISBN: (纸本)9789819771387

Vascular skeleton extraction is one of the key steps in medical image analysis. However, during the acquisition process of forearm near-infrared vascular images, due to external factors, they are not clear enough, resulting in inaccurate extraction of vascular skeletons. After preprocessing the initial image, this paper uses the Zhang-Suen refinement algorithm to extract the forearm near-infrared vascular skeleton. This algorithm is an iterative algorithm that can accurately refine the object boundaries in an image into a pixel wide skeleton. The experimental results show that compared to other skeleton extraction algorithms, the Zhang-Suen refinement algorithm obtains smoother, more accurate, and clearer vascular skeletons. © Beijing KeCui Man-Machine-Environment System engineering Technology Research Academy 2024.

关键词： Musculoskeletal system

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Coordinated Synthetic Inertia Control Provision from Distributed Energy Resources and Energy Storage Systems 1

Coordinated Synthetic Inertia Control Provision from Distrib...

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1st International Conference on Intelligent Controller and computing for Smart Power, ICICCSP 2022

作者： Nema, Sumit Prakash, Vivek Bhakar, Rohit Pandzic, Hrvoje School of Automation Banasthali Vidyapith Department of Electrical Engineering Tonk India University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Malaviya National Institute of Technology Department of Electrical Engineering Jaipur India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

Large-scale integration of Distributed Energy Resources (DERs) into power grids reduces the system inertial response. Reduced inertial response results in high Rate-of-Change-of-Frequency (RoCoF) and poses operational challenges regarding the grid frequency stability. The need for Fast Frequency Response (FFR) like Synthetic Inertia Control (SIC) is recognized globally as one of the potential solutions to this challenge. This paper proposes a novel SIC control strategy in an islanded microgrid framework with DERs like wind, photovoltaic, Energy Storage Systems (ESS), Diesel generator and inverters. Particle Swarm Optimization (PSO) is applied to tune the SIC droop, the damping and inverter the time constant. Furthermore, a PID controller is implemented for fine tuning of the synthetic inertia constants. The proposed approach is examined in a control area with distinct degrees of DERs and load. Case studies and numerical results demonstrate about 94% improvement in RoCoF and 72% improvement in the frequency nadir. © 2022 IEEE.

关键词： Energy storage

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