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Journal of Network Intelligence 2024年第4期9卷 2621-2641页

作者： Yan, Ren-Wu Fu, Fu-Wei Liu, Yun-Zhang Yu, Ning Zhang, Zhi-Hong College of Electronic Electrical and Physics Engineering Research Center for Smart Grid Simulation Analysis and Integrated Control Fujian University of Technology Fuzhou350118 China Department of Computing Sciences State University of New York Brockport College NY14420 United States

Currently, modular multilevel converter-based flexible direct current transmission technology (MMC-HVDC) is the prevalent method for connecting long-distance offshore wind farms (OWF) to large power grid systems. Due to unique meteorological conditions at sea and the utilization of substantial wind turbines, offshore doubly-fed wind turbines possess a higher axial elastic coefficient compared to their onshore counterparts. When linked to the grid via MMC-HVDC, two types of sub-synchronous oscillations oc-cur: natural torsional vibrations within the wind turbine shafting and sub-synchronous oscillations resulting from interactions between the wind turbine and devices in the MMC-HVDC converter control system. To address these issues, a MMC-HVDC grid connection model for offshore long-distance doubly-fed wind farms has been developed. A cloud computing platform-based wind farm data acquisition system is employed for remote wind turbine data collection. Eigenvalue analysis and participation factors are utilized to determine oscillation modes and corresponding strongly correlated state variables arising from interactions between wind turbine shaft torsional vibration and converter devices. Upon identifying the correlations of state variables, a suppression strategy involving a circulating current suppression DC control collaborative virtual resistance controller is proposed to mitigate sub-synchronous oscillations. The efficacy of the suggested suppression approach is validated using PSCAD/EMTDC electromagnetic transient simulation software. © 2024, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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Triple Parallel LSTM Networks for Classifying the Gait Disorders Using Kinect Camera and Robot Platform During the Clinical Examination

Triple Parallel LSTM Networks for Classifying the Gait Disor...

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2023 International Conference on electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Shayestegan, Mohsen Zalabsky, Tomas Mareš, Jan University of Pardubice Pardubice Faculty of Electrical Engineering and Informatics Czech Republic Research Center University of Pardubice Pardubice Faculty of Electrical Engineering and Informatics Czech Republic University of Pardubice Pardubice Faculty of Electrical Engineering and Informatics Department of Process Control Czech Republic

ISBN: (纸本)9798350322972

This paper presents a new methodology for the data processing and classification method for gait disorders, which is observed with a Kinect camera. The study of gait and motion stability in gait disorders is one of the most interesting research areas in the field. The patient and the physician must monitor the progress of the rehabilitation process before and after surgery to obtain an objective view of the rehabilitation process. In this study, the patient is scanned with the Kinect camera placed on a mobile robotic platform. For feature extraction and feature analysis, the exercises (three walking exercises) frames are collected and saved in data folders. This study uses 84 measurements of 37 patients with complex observations based on the physician's opinion in a clinical setting to address classification problems. In the analysis of gait disorders, motion data play an essential role. Furthermore, it reduces the selection of helpful body features for assessing gait disorders. The proposed system uses a key-point detector that computes body landmarks and classifies gait disorders using triple-parallel long short-term memory (LSTM) networks. The present study demonstrates the success of the method in classification evaluation when combined with the state-of-the-art pose estimation method. Around 81 percent accuracy was achieved for given sets of individuals using velocity-based, angle-based, and position-based features. © 2023 IEEE.

关键词： Long short-term memory

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Transferable,highly crystalline covellite membrane for multifunctional thermoelectric systems

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InfoMat 2024年第11期6卷 66-80页

作者： Myungwoo Choi Geonhee Lee Yea-Lee Lee Hyejeong Lee Jin-Hoon Yang Hanhwi Jang Hyeonseok Han MinSoung Kang Seonggwang Yoo A-Rang Jang Yong Suk Oh Inkyu Park Min-Wook Oh Hosun Shin Seokwoo Jeon Jeong-O Lee Donghwi Cho Department of Materials Science and Engineering Korea UniversitySeoulRepublic of Korea Thin Film Materials Research Center Korea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Chemical Data-Driven Research Center Korea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Division of Chemical and Material Metrology Korea Research Institute of Standards and ScienceDaejeonRepublic of Korea Department of Materials Science and Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Department of Mechanical Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Therapeutics&Biotechnology Division Drug Discovery Platform Research CenterKorea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Querry Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIllinoisUSA Division of Electrical Electronic and Control EngineeringKongju National UniversityCheonanRepublic of Korea Department of Mechanical Engineering Changwon National UniversityChangwonRepublic of Korea Department of Materials Science and Engineering Hanbat National UniversityDaejeonRepublic of Korea Advanced Materials and Chemical Engineering University of Science and TechnologyDaejeonRepublic of Korea

Emerging freestanding membrane technologies,especially using inorganic thermoelectric materials,demonstrate the potential for advanced thermoelectric ***,using rare and toxic elements during material processing must be ***,we present a scalable method for synthesizing highly crystalline CuS membranes for thermoelectric *** sulfurizing crystalline Cu,we produce a highly percolated and easily transferable network of submicron CuS *** CuS membrane effectively separates thermal and electrical properties to achieve a power factor of 0.50 mW m^(-1) K^(-2) and thermal conductivity of 0.37 W m^(-1) K^(-1) at 650 K(estimated value).This yields a record-high dimensionless figure-of-merit of 0.91 at 650 K(estimated value)for ***,integrating 12 CuS devices into a module resulted in a power generation of4μW atΔT of 40 K despite using a straightforward configuration with only p-type ***,based on the temperature-dependent electrical characteristics of CuS,we develop a wearable temperature sensor with antibacterial properties.

关键词： copper sulfide flexible thermoelectric generator multifunctional thermoelectric systems sulfurization thermoelectric membrane

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research on frequency control strategy of combined wind- energy storage system 2

Research on frequency control strategy of combined wind- ene...

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2nd International Conference on Smart Grids and Energy Systems, SGES 2023

作者： Jiang, Zhihong Liu, Guiyuan Song, Kangnan Li, Han Yang, Hao Wu, Han Changchun Institute of Technology School of Electrical Engineering and Information Technology Changchun China National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control With Safety Operation Technology Changchun China International Joint Research Center for New Energy Power Generation and Network Control Technology of Jilin Province Changchun China

ISBN: (纸本)9798350371659

Under the high penetration rate of wind power, the power system puts forward technical requirements for the frequency regulation capability of wind farms. Considering that the frequency response capability of the double-fed induction generator (DFIG) is insufficient, it is proposed to combine energy storage (ES) with wind power for system frequency regulation. Based on the frequency characteristic models of the wind farm and the ES system, this paper establishes a prediction model for the over speed control of the wind farm and a prediction model for the electrochemical energy storage system, and optimizes the active power output of the wind turbine and the energy storage system. The strategy is based on the optimal control of the wind turbine output power and ES power variation, and on this basis, an optimal control model considering the ES state of charge (SOC) and power is designed. The simulation results show that the proposed control strategy can not only effectively suppress grid frequency deviation can also coordinate the ES state of charge and frequency control. © 2023 IEEE.

关键词： Model predictive control

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Intelligent Clustering Based Active Power Allocation Strategy for Wind Turbines 2

Intelligent Clustering Based Active Power Allocation Strateg...

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2nd International Conference on Smart Grids and Energy Systems, SGES 2023

作者： Jiang, Zhihong Song, Kangnan Liu, Guiyuan Wu, Han Li, Han Yang, Hao Changchun Institute of Technology School of Electrical Engineering and Information Technology Changchun China National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control With Safety Operation Technology Changchun China International Joint Research Center for New Energy Power Generation and Network Control Technology of Jilin Province Changchun China

ISBN: (纸本)9798350371659

Aiming at the problem of uneven distribution of active power of each unit in a wind farm, an artificial intelligence clustering method based active power distribution strategy of wind turbine is proposed. Firstly, according to the actual operation data of the wind farm, the Pearson correlation coefficient is used to select the clustering data. Then, the Gaussian mixture model is used for clustering experiments. Finally, according to the clustering results, the distribution method of weight proportional coefficient is adopted to evenly distribute power to all units. The simulation results show that the proposed clustering method has a good evaluation score, and the power allocation strategy based on this can fully meet the scheduling criterias. All units can realize the smooth and orderly power rise and fall in the safe operation state, and avoid the problem of frequent start-stop and overload operation of some units caused by uneven power distribution. © 2023 IEEE.

关键词： Cluster analysis

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High-precision Position control of Ultrasonic Motor Based on Transient Response

High-precision Position Control of Ultrasonic Motor Based on...

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2024 IEEE International Conference on electrical Energy Conversion Systems and control, IEECSC 2024

作者： Qu, Huajie Wen, Zhongpu Shi, Mengdi Qu, Jianjun School of Mechatronics Engineering Beijing Polytechnic Department of Mechanical and Electrical Technology Beijing100176 China Beijing Engineering Research Center of Precision Measurement Technology and Instruments Beijing University of Technology Beijing100124 China School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9798350389357

In order to improve the accuracy of the position control of the ultrasonic motor and give full play to its characteristics such as low speed, fast response and self-locking in case of power failure, this paper proposes a stepping control method of the ultrasonic motor based on the transient response. A digital ultrasonic motor controller based on DSP is designed. A high-precision angular displacement test-bed is built by combining the above controller, a high-precision absolute rotary encoder and the LabVIEW upper computer program. Taking traveling wave ultrasonic motor with 60mm in diameter as the control object, the influence of ultrasonic motor's driving parameters on the step angle under transient response is studied. The experimental results show that the minimum open-loop step angle of ultrasonic motor is less than 1' with good stability. In addition, in order to achieve fast and high-precision positioning control combined with the transient response characteristics of ultrasonic motor, a composite control algorithm of step control and traditional PID control is proposed. This control algorithm realizes the high-precision closed-loop position control of ultrasonic motor and the information exchange between the upper computer and the lower computer with fast response. The experimental results show that the maximum adj ustment time is 0.8s and the maximum positioning difference is less than or equal to 2.9' within 3600. © 2024 IEEE.

关键词： Transient analysis

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Distributed Event-triggered Fixed-time Optimal Dispatch control for Cyber-Physical Islanded DC Microgrids Incorporating Time Delays

Distributed Event-triggered Fixed-time Optimal Dispatch Cont...

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2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024

作者： Zaery, Mohamed Amrr, Syed Muhammad Hussain, S.M. Suhail Abido, Mohammad A. Control & Instrumentation Engineering Department Saudi Arabia K.A.CARE Energy Research & Innovation Center Saudi Arabia King Fahd University of Petroleum & Minerals Interdisciplinary Research Center for Sustainable Energy Systems Saudi Arabia Electrical Engineering Department Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence Saudi Arabia

ISBN: (纸本)9798350395075

This study proposes a distributed Event-triggered fixed-time (ET -FxT) cooperative control strategy for optimizing generation costs in DC Microgrids (MGs), which is subjected to communication resource constraints and input time delays. Initially, Artstein's reduction method was applied to transform the time-delay system into a model without delays, aiming to improve system stability. Following this, an ET -FxT distributed algorithm is introduced for cost minimization, designed to balance the incremental costs (I Cs) of all distributed generators (DGs) within an accelerated settling time, while respecting the bandwidth constraints of communication network. Additionally, a distributed control approach is presented for achieving FxT voltage stability, ensuring a balance between generations and consumptions in the MG. The validity of this control method is demonstrated through numerous comprehensive case studies. © 2024 IEEE.

关键词： Microgrids

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A Novel Cutting Fluids Performance Assurance System for CNC Machine Tools

A Novel Cutting Fluids Performance Assurance System for CNC ...

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2024 International Automatic control Conference, CACS 2024

作者： Chou, You-Syuan Chen, Yi-Shiang Chiang, Fu-Yu Yang, Chen-Yen Shi, Zhe-Xun Lin, Yu-Sheng Lin, Shang-Chih Su, Shun-Feng Huang, Yennun Feng Chia University Institute of Automatic Control Engineering Taichung407 Taiwan Feng Chia University Department of Automatic Control Engineering Taichung407 Taiwan National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei115 Taiwan

ISBN: (纸本)9798350354904

In the CNC machine tool industry, cutting fluid is a crucial component of the machining process. Nevertheless, as the duration of cutting fluid use increases, its performance progressively deteriorates, presenting a significant challenge that necessitates resolution. This study introduces an innovative intelligent monitoring system designed to optimize the preparation of cutting fluid in CNC machine tools. The aim is to extend the fluid's service life, mitigate tool wear, and address issues arising from fluid degradation. The system integrates a heating plate, sensors, pumping motors, and embedded systems to monitor and manage the cutting fluid effectively. Testing was conducted using a customdesigned container, and data analysis identified the optimal supply strategy, thereby extending the usable lifespan of the cutting fluid. This system enhances production longevity and allows for the configuration of containers with appropriate capacities based on specific requirements, ensuring consistent and high-quality production. © 2024 IEEE.

关键词： Cutting fluids

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Hamiltonian learning using machine-learning models trained with continuous measurements

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Physical Review Applied 2024年第4期22卷 044080页

作者： Kris Tucker Amit Kiran Rege Conor Smith Claire Monteleoni Tameem Albash Department of Applied Mathematics Department of Computer Science Center for Quantum Information and Control Department of Electrical and Computer Engineering Paris France Center for Computing Research

We build upon recent work on the use of machine-learning models to estimate Hamiltonian parameters using continuous weak measurement of qubits as input. We consider two settings for the training of our model: (1) supervised learning, where the weak-measurement training record can be labeled with known Hamiltonian parameters, and (2) unsupervised learning, where no labels are available. The first has the advantage of not requiring an explicit representation of the quantum state, thus potentially scaling very favorably to a larger number of qubits. The second requires the implementation of a physical model to map the Hamiltonian parameters to a measurement record, which we implement using an integrator of the physical model with a recurrent neural network to provide a model-free correction at every time step to account for small effects not captured by the physical model. We test our construction on a system of two qubits and demonstrate accurate prediction of multiple physical parameters in both the supervised context and the unsupervised context. We demonstrate that the model benefits from larger training sets, establishing that it is “learning,” and we show robustness regarding errors in the assumed physical model by achieving accurate parameter estimation in the presence of unanticipated single-particle relaxation.

关键词： Entanglement detection Nonlocality Quantum parameter estimation Machine learning Weak measurements

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A Novel Depth Map Restoration Strategy Based on Information Entropy-Guided

A Novel Depth Map Restoration Strategy Based on Information ...

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2023 China Automation Congress, CAC 2023

作者： Li, Xin Li, Yan Jiang, Hui Miao, Lixiao Zhang, Ziyang School of Electrical and Electronic Engineering Changchun University of Technology Changchun China Shenzhen Huacheng Industrial Control Co. Ltd Department of Control Center Research Shenzhen China

ISBN: (纸本)9798350303759

In order to effectively fill the holes in the depth map, especially to repair large holes, this paper proposes a new information entropy-guided strategy for depth inpainting. Firstly, the depth map and color image undergo preprocessing to obtain a connected hole map and grayscale image for subsequent steps. The filling priority of invalid points is then evaluated by introducing the concept of information entropy, which improves the intelligence of the filling priority evaluation results. Secondly, the depth value prediction for invalid points is guided by color and gradient information, which ensures the integrity of the overall depth data and enhances the precision of the restoration. Finally, a comparison experiment was conducted on the Middlebury dataset. The proposed method demonstrated better robustness and accuracy compared to other competing methods, providing new ideas for related research in the field of deep image processing. © 2023 IEEE.

关键词： Filling

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