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Sub-Synchronous Oscillation Suppression Strategy Research for Grid-Forming Direct-Drive Permanent Magnet Synchronous Generator Based on Adaptive Notch Filter

Sub-Synchronous Oscillation Suppression Strategy Research fo...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Sun, Dongyang Jiao, Yingzi Liu, Jinfeng School of Electrical and Electronic Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China School of Measurement Control Technology and Communication Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China

ISBN: (纸本)9789819620791

When sub-synchronous oscillations (SSO) occur in power grid, they can affect control performance of grid-side converter (GSC) for direct-drive permanent magnet synchronous generators (D-PMSG), thereby impacting overall stability of system. To address this issue, this paper proposes a suppression strategy for SSO based on adaptive notch filter (ANF). Firstly, the mechanism by which grid SSO affects GSC control of D-PMSG based on virtual synchronous generator (VSG) is analyzed, and disturbance propagation path of SSO component is delineated. Secondly, to overcome problem that fixed-parameter notch filters are unsuitable for time varying characteristics of SSO frequencies, an improved fast Fourier transform-based algorithm for identifying SSO parameters is proposed. Based on identification results, a strategy for updating center frequency of ANF is designed. Optimal intervention point of ANF in control system is determined. Finally, by constructing a simulation model, the effectiveness of proposed control strategy for suppressing SSO is verified. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Adaptive filters

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ARMA Graph Filter Design by Least Squares Method Using Reciprocal Polynomial and Second-order Factorization 16

ARMA Graph Filter Design by Least Squares Method Using Recip...

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16th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2023

作者： Xu, Luming Jiang, Aimin Li, Min Tang, Yibin Zhu, Yanping Hohai University College of Information Science and Engineering China Changzhou University School of Microelectronics and Control Engineering China

ISBN: (纸本)9798350330755

Graph filtering plays a pivotal role in the domain of graph signal processing. In this paper, we propose a novel algorithm for designing autoregressive moving average (ARMA) graph filters. Our method is built upon classical least squares (LS) techniques. A reciprocal polynomial is introduced, making the resulting problem more tractable. To address stability concerns, a second-order factorization of the denominator polynomial is further incorporated. We develop an alternating optimization approach to tackle the design problem, where numerator coefficients, coefficients of the denominator's second-order factors (SOCs), and those of its reciprocal polynomial are updated alternately. Simulation results demonstrate that our proposed algorithm outperforms existing graph filter design methods in terms of design accuracy. © 2023 IEEE.

关键词： Factorization

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Impact Damage Identification of Aluminum Alloy Reinforced Plate Based on GWO-ELM Algorithm

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Structural Durability & Health Monitoring 2023年第6期17卷 485-500页

作者： Wei Li Benjian Zou Yuxiang Luo Ning Yang Faye Zhang Mingshun Jiang Lei Jia School of Control Science and Engineering Shandong UniversityJinan250061China Communication Technology Division Shandong Institute of Space Electronic TechnologyYantai264000China

As a critical structure of aerospace equipment,aluminum alloy stiffened plate will influence the stability of spacecraft in orbit and the normal operation of the *** this study,a GWO-ELM algorithm-based impact damage identification method is proposed for aluminum alloy stiffened panels to monitor and evaluate the damage condition of such stiffened panels of ***,together with numerical simulation,the experimental simulation to obtain the damage acoustic emission signals of aluminum alloy reinforced panels is performed,to establish the damage ***,the amplitude-frequency characteristics of impact damage signals are extracted and put into an extreme learning machine(ELM)model to identify the impact location and damage degree,and the Gray Wolf Optimization(GWO)algorithm is employed to update the weight parameters of the ***,experiments are conducted on the irregular aluminum alloy stiffened plate with the size of 2200 mm×500 mm×10 mm,the identification accuracy of impact position and damage degree is 98.90% and 99.55% in 68 test areas,*** experiments with ELM and backpropagation neural networks(BPNN)demonstrate that the impact damage identification of aluminum alloy stiffened plate based on GWO-ELM algorithm can serve as an effective way to monitor spacecraft structural damage.

关键词： GWO-ELM aluminum alloy stiffened plate damage identification amplitude-frequency characteristic

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A Document Ensemble Clustering Approach via Dimensionality Reduction 43

A Document Ensemble Clustering Approach via Dimensionality R...

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43rd Chinese control Conference, CCC 2024

作者： Li, Xingzhi Wang, Zhiwei Lang, Qi Liu, Xiaodong School of Control Science and Engineering Dalian University of Technology Dalian116024 China School of Computer Science and Information Technology Northeast Normal University Changchun130117 China

ISBN: (纸本)9789887581581

The internet's rapid expansion has generated abundant text data, posing a formidable challenge in extracting key information, where document clustering demonstrates its powerful role. Previously, many people commonly used a single clustering method, which may not be suitable for certain datasets. Additionally, documents are often represented as high-dimensional vectors, leading to the curse of dimensionality and sparsity issues, and clustering algorithms' effectiveness in high-dimensional spaces is limited. Therefore, this paper proposes a document ensemble clustering method based on dimensionality reduction, which can overcome the limitations caused by using a single clustering method, making it more suitable for the majority of text data. Initially, dimensionality reduction techniques are applied to preprocess document embeddings generated. Subsequently, these embedding vectors are fed into an ensemble clustering module, where distances between samples are computed using multiple clustering methods. By adjusting weights, the distance matrices are subjected to weighted summation to obtain an appropriate distance matrix. Finally, the K-means method is applied to cluster division, yielding the most suitable clusters for extracting the most relevant keywords. The proposed method was evaluated empirically, achieving excellent results on the 20Newsgroups and Reuters-21578 datasets. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Dimensionality reduction

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Deep domain generalization method via low-rank category constraint for multi-site ASD identification 3

Deep domain generalization method via low-rank category cons...

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3rd International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2023

作者： Yu, Lei Wang, Li Cheng, Ming Xue, Minhao Wang, Lei School of Electrical Engineering and Control Science Nanjing Tech University Nanjing Jiangsu211816 China

ISBN: (纸本)9781510668522

With the development of deep learning in diagnosing autism spectrum disorder (ASD), multi-site resting-state functional magnetic resonance imaging (rs-fMRI) images have made excellent progress. However, there is a heterogeneous problem between the multi-site data caused by inconsistent data distribution. Existing domain adaptation methods cannot deal with the issue that the target domain data is unavailable during the training stage. To address this problem, we propose a deep domain generalization method via low-rank category constraint (DDGLCC) for multi-site ASD identification. The main idea is capturing the category discriminative information through the domain-specific networks and gaining the consistently shared information through the domain-invariant network. A novel category-based low-rank constraint strategy is used to align two types of networks. In the test stage, the well-Trained domain-invariant network is applied to the unseen target domain data. Whether the results on different deep structure experiments or different lowrank constraints experiments, the proposed DDGLCC method achieves the best performance. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Magnetic resonance imaging

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Knowledge mapping analysis of the track and hotspot of water lubrication:A scientometrics review

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Friction 2023年第9期11卷 1557-1591页

作者： Runzhou XU Defa WU Zhenyao WANG Yipan DENG Qian CHENG Hao PANG Wenshu WEI Yinshui LIU State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China Beijing Tianma Intelligent Control Technology Co. Ltd.Beijing 101300China

With the enhancement of environmental protection awareness of the international community and the continuous promotion of green and sustainable development of manufacturing industry,water lubrication instead of mineral oil has become the future development trend due to its green,pollution-free,clean,safe,and sustainable advantages especially in ships,marine,coal mining,and other *** recent years,with the rapid development of water lubrication research,significant progress has been made in related research knowledge domain and discipline.A systematic and extensive assessment of water lubrication research has become increasingly *** objective of this research is to reveal the research status,research hotspots,and development trends in the field of water ***,CiteSpace was used to conduct a systematic bibliometric and scientometrical analysis of 1,792 publications from Web of science core collection database(1997–2021).The results show that China and USA are the most productive countries in the field of water lubrication and have made outstanding *** the analysis of hot key words and co-citation references,this paper reviews the research status of water lubrication in three aspects:(1)lubricating medium modification;(2)material preparation;(3)surface *** has become a research hotspot to promote the superlubricity contact interface and the application of *** results of this study can make a significant contribution to the development of water lubrication by providing a comprehensive understanding of the research status and research hotspots in this *** understanding and discussion of research hotspots and research status are expected to provide insights into future research *** addition,this study will provide valuable references and guidelines for researchers who are interested in this field.

关键词： water lubrication friction scientometrics CiteSpace

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control of Unmanned Bicycle Based on Tensor Product Model Transformation and Hammersley Sampling Method 12

Control of Unmanned Bicycle Based on Tensor Product Model Tr...

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12th International Conference on Intelligent control and Information Processing, ICICIP 2024

作者： Xie, Depeng Wang, Degang Zhao, Guoliang Li, Hongxing School of Control Science and Engineering Dalian University of Technology Dalian China College of Electronic Information Engineering Inner Mongolia University Hohhot China

ISBN: (纸本)9798350308020

In this paper, path planning and balance control of unmanned bicycles are investigated. Firstly, the Deep Deterministic Policy Gradient (DDPG) algorithm is used to train the Artificial Potential Field (APF) algorithm to implement path planning in complex maps. Secondly, a dual closed-loop control strategy is adopted for the path tracking and the balance control. In the inner-loop control, the Hammersley sampling (HS) method is used to obtain the hyper-cube network model of the unmanned bicycle, and the balance controller is designed based on the tensor product (TP) model transformation and parallel distributed compensation (PDC) method for stabilization of the unmanned bicycle. The outer-loop control system uses the Ackermann steering geometry model to track the planned path. Finally, the simulation results demonstrate that the path planning algorithm plans the path that satisfies the constraints and the designed balance controller can keep the unmanned bicycle balanced well during trajectory tracking. © 2024 IEEE.

关键词： Motion planning

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Elucidation of the formation process and shape determining factors of GP zones and nanoclusters in Al-Cu and Al-Mg-Si alloys

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Keikinzoku/Journal of Japan Institute of Light Metals 2024年第12期74卷 535-545页

作者： Shoji, Mizuki Kurihara, Kensuke Lobzenko, Ivan Tsuru, Tomohito Serizawa, Ai Materials Science and Engineering Graduate School of Engineering and Science Shibaura Institute of Technology 3-7-5 Toyosu Tokyo Koto-ku135-8548 Japan Functional Control System Graduate School of Engineering and Science Shibaura Institute of Technology Tokyo Koto-ku Japan Nuclear Science and Engineering Center Japan Atomic Energy Agency Ibaraki Naka-gun Japan Department of Materials Science and Engineering Shibaura Institute of technology Tokyo Koto-ku Japan

While plate-like Guinier-Preston (GP) zones are formed during aging process in Al-Cu alloys, spherical nanocluster formation occurs in the early stage of aging in Al-Mg-Si alloys. Unlike well-known GP (I) zone in Al-Cu, there is no specific configurations within the nanocluster. However, the solute concentration and local configuration should play decisive role in subsequent formation of precipitates. In the present study, the first-principles calculations were performed to investigate the factors determining the stable shape during the formation process of GP zones and clusters in Al-Cu and Al-Mg-Si alloys. As a result of formation energy calculation of three-body bonds, the Cu-Cu-Cu triplet with the bond angle of 90° was the most stable. Monte Carlo simulations with newly developed machine-learning potential were then performed, and consequently the segregation of Cu atoms with the bond angle of 90° was observed more frequently. In contrast, three-body triplet with the bond angle of 60°was most stable without any specific directional anisotropy in Al-Mg-Si alloy, resulting in the formation of spherical nanoclusters. These results suggest that the intrinsic feature of the stability of local bonding dominates the shape of GP zones and nanoclusters, in which planar- or spherical-like cluster is formed. © 2024 The Japan Institute of Light Metals.

关键词： Silicon alloys

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A Spoke-Type PM Machine with Quasi-Trapezoid Magnets and Quasi-Dovetail Iron Poles 26

A Spoke-Type PM Machine with Quasi-Trapezoid Magnets and Qua...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Xiang, Pengjie Liang, Yan He, Xinghua Liu, Xiaoshuai Du, Nannan Yang, Xuxu Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing China

ISBN: (纸本)9798350317589

This paper proposes a spoke-type PM machine with quasi-trapezoid magnets and quasi-dovetail iron poles (SPM-QMQI). The SPM-QMQI can offer several merits. First, the employment of quasi-trapezoid magnet and iron pole help to achieve strong flux-focusing effect and high saliency ratio, respectively, which contributes to enhancing torque output of the SPM-QMQI machine. Second, the quasi-dovetail iron can enhance flux-shielding effect and thus the rotor yoke can be replayed with low-density non-ferromagnetic material contributing to reducing rotor mass. Besides, the dovetail-shaped iron pole can protect the rotor magnet against centrifugal force, and thus the conventional rotor sleeve can be removed contributing to a small airgap length. Third, the magnet usage efficiency of electrical machine can be increased greatly, because of the magnet volume reduction and torque improvement. First, the schematic structure and characteristics of proposed QMQI pole pattern are presented. Subsequently, the impact of the key structural parameters and current angle of the QMQI pole pattern on the output characteristics of the electrical machine is investigated. Following that, the electromagnetic characteristics of the proposed QMQI pole design, such as airgap magnetic field, back electromotive force, torque output and ripple, magnet loss, rotor mass and magnet utilization ratio, are compared with with those of the conventional electric machine design to confirm the merits of the proposed SPM-QMQI design. The SPM-QMQI machine have high torque output, low rotor mass and small magnet volume simultaneously, which is desirable for many industrial applications. © 2023 IEEE.

关键词： Iron

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Research on Integrated Inertia control Strategy of Hydrogen Production System with Wind Power Permeability

Research on Integrated Inertia Control Strategy of Hydrogen ...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Sun, Dongyang Zhou, Yanbing Liu, Jinfeng School of Electrical and Electronic Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China School of Measurement Control Technology and Communication Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China

ISBN: (纸本)9789819620791

High proportion of new energy and high proportion of power electronic equipment in the power system, the problem of frequency safety is becoming increasingly prominent. It is the key of high permeability grid connection of wind power to realize virtual inertia support by rational use of energy reserve of wind storage hydrogen production system. In this paper, based on the improved system frequency response model considering wind power permeability, the dynamic response equation of system frequency is derived to analyze the influence of wind power permeability on the system frequency stability. Secondly, according to the definition of inertia time constant of synchronous unit, the virtual inertia time constant of electric hydrogen production and supercapacitor is established, the required inertia of the system is evaluated with the system frequency change rate as the safety constraint condition, and the inertia distribution strategy of the air storage hydrogen production system is proposed. Finally, a simulation model of hydrogen production system from wind storage is built to verify that the frequency stability of the system can be significantly improved under the proposed control strategy. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Frequency stability

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