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SSRN 2024年

作者： Liu, Wenbo Kuang, Zhian Zhang, Yongcong Zhou, Bo He, Pengfei Li, Shihua School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China Shanghai Friendess Electronic Technology Shanghai201100 China

Multi-robot task allocation is one of the most interesting multi-robot systems that have gained considerable attention due to various real-world applications. In this paper, we focus on a multi-robot task allocation problem where a set of industrial robots, which are installed on a gantry and have a limited working span, have to jointly perform a set of weld lines in large size. We present a mathematical model that captures the objective of minimizing the cycle time, i.e., the time required to complete a given set of weld lines. Due to the inherent difficulty of the problem, we propose an effective hybrid genetic algorithm to solve it. Because the robots are associated with a limited working span, the algorithm integrates a specific region division algorithm to divide the workpieces into a set of regions where the robots can reach all the weld lines in each region. It also incorporates a dedicated route-based crossover to generate promising offspring solutions and an effective neighborhoodbased local search procedure to improve each offspring solution as much as possible. Extensive experimental results on three benchmark instances show that the algorithm significantly outperforms reference methods. Additional experiments on real-world instances are presented to verify the algorithm’s effectiveness in solving the multi-robot task allocation problem with limited span. © 2024, The Authors. All rights reserved.

关键词： Industrial robots

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Enhanced Fano resonance for high-sensitivity sensing based on bound states in the continuum

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Chinese Optics Letters 2023年第3期21卷 54-59页

作者：冯光陈智辉王扬刘欣刘寅山刘啸孙非杨毅彪陈树琪 Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi ProvinceCollege of Physics and OptoelectronicsTaiyuan University of TechnologyTaiyuan 030024China Key Laboratory of Chemical Biology and Molecular Engineering Ministry of EducationInstitute of BiotechnologyShanxi UniversityTaiyuan 030006China Key Laboratory of Weak Light Nonlinear Photonics Ministry of EducationRenewable Energy Conversion and Storage CenterSchool of Physics and TEDA Institute of Applied PhysicsNankai UniversityTianjin 300071China

Although previously reported terahertz absorbers can achieve high-sensitivity refractive index sensing,the resonant peak is too broad,which leads to a low figure of merit[FOM].Transmissive sensors based on bound states in the continuum[BIC]can achieve high FOM,but they have some limitations in high ***,we propose a periodic triple parallel metal bars structure to obtain high quality,a strong field,and multiple hot spots by the Friedrich-Wintgen *** results show the sensitivity and FOM can reach 1877 GHz/RIU and 665,*** to the previously reported transmissive sensors based on BIC,the sensitivity has been greatly improved.

关键词： Fano resonance bound states in the continuum terahertz high-sensitivity sensing

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Transient Synchronizing Stability Quantitative Assessment of Converter-Based Resources by Basin of Attraction

Transient Synchronizing Stability Quantitative Assessment of...

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China International Conference on Electricity Distribution, CICED

作者： Rui Ma Hao Zhang Quanrui Hao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China

ISBN: (数字)9798350368345

ISBN: (纸本)9798350368352

As the converter-based renewable power generation has been extensively integrated into grid, the transient synchronizing stability accidents of gird induced by voltage source convert (VSC) are emerging more and more frequently and severely. In this paper, the transient synchronizing dynamics of the VSC are depicted by a reduced-order model. Then, its transient synchronizing stability is examined and analyzed by the large-signal basin of attraction (BOA) of the VSC. The system shows two kinds of boundaries of the BOA under different parameters, including the closed-loop area and the fish-like area. The boundary of the closed-loop area is depicted by the equipotential plane estimation based on the energy function. The boundary of the fish-like area is estimated through the method of hyperplane in the first quadrant. Meanwhile, the transient synchronizing stability criteria can be established based on the estimated boundaries and the numerically integral fault trajectories. Furthermore, the critical clearing angle (CCA) is analytical calculated through the analytically derived fault trajectory under the worst fault conditions. Meanwhile, the critical clearing times (CCT) can also be analytical calculated. Both the analytical CCA and CCT can provide enough margin for the transient control and protection. Finally, several simulations have verified the effectiveness and accuracy of the proposed method in MATLAB.

关键词： Renewable energy sources Stability criteria Power system stability Reduced order systems Trajectory Transient analysis Protection MATLAB Numerical stability Power generation

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17th Chinese Intelligent systems Conference, CISC 2021

作者： Liu, Binye Wang, Jinlong Wu, Kaitian Xu, Zhezhuang College of Electrical Engineering and Automation Fuzhou University Fuzhou350000 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China

ISBN: (纸本)9789811663192

The robots have been used in the inspection of industrial wireless sensor networks (IWSNs), that includes data collection and wireless charging. The sensor nodes are always densely deployed and their appearances are similar, thus it is a non-trivial challenge to identify a specific node by the machine vision. To solve this problem, we propose to use the proximity estimation algorithm, which uses wireless signals to estimate neighbor nodes, to help the robot to identify a specific node in the network. The algorithm is deployed a patrol inspection testbed with a mobile robot and multiple sensor nodes, and the experiments are executed to verify its performance. The experimental results show that the proximity estimation algorithm is a reasonable solution to identify similar nodes in the inspection of the IWSN. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Inspection

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Stability Analysis of a New Constant Current to Constant Voltage Power Supply system 42

Stability Analysis of a New Constant Current to Constant Vol...

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42nd Chinese control Conference, CCC 2023

作者： Song, Xiaoxian Fang, Zhijian Xia, Yuangeng Cai, Jie Wei, Zihao School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

ISBN: (纸本)9789887581543

A high-reliability constant current to constant voltage power supply system has the advantages of small volume of switching power supply, high power density, high efficiency was proposed. This paper use two controllers to control the shunt regulator(SR) circuit and single-end flyback converter part, and separate the two parts for small signal modeling and give the parameters to stabilize the closed loop. The state space average modeling idea was used to solve the state equations for the modes of the converters in a switching cycle. In order to ensure the stability of cascade system, this paper collaborative optimization of hardware filter parameters and the appropriate PI parameter design. The experimentals verify the correctness of our theory, and the system has good stability under closed-loop conditions. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Stability

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Data-driven Fault Diagnosis Method Based on Fusion of Multi-direction and Multi-source Signals 5

Data-driven Fault Diagnosis Method Based on Fusion of Multi-...

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5th International Conference on Intelligent Autonomous systems, ICoIAS 2022

作者： Yang, Yang Wang, Junda Li, Ning Shanghai Jiaotong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai China

ISBN: (数字)9781665498388

ISBN: (纸本)9781665498388

As a pivotal mechanical component of turbine drive-chain, gearbox suffers from various accidents and fault diagnosis could remarkably enhance its reliability and maintain running safety and lifetime. Vibration-based analysis on single-channel is mainly adopted in previous diagnostic, which cannot catch full vibration inner information in gearbox sensors and bring model performance down. In this paper, a novel method based on the fusion of multi-direction and multi-source signals and the convolutional neural network (MDMS-CNN) is presented. This method can obtain multi-dimensional feature maps from MDMS and preserve the time correlation among different signal sequences. First, features from MDMS are extracted via a corrosion conversion method that converts signals into two-dimensional (2-D) gray images. Then, homologous images are spliced into same channels, while heterogeneous images are superimposed to different channels. Finally, fusion features are input into CNN for fault classification. In experiments, the method is validated on a gearbox diagnosis case. Results have shown that the proposed method achieves 99.86% recognition accuracy and faster convergence speed compared to others. © 2022 IEEE.

关键词： Failure analysis

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Hybrid Impedance Reshaping Method of Grid-Connected Inverters in Weak Grid

Hybrid Impedance Reshaping Method of Grid-Connected Inverter...

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2023 Power Electronics and Power system Conference, PEPSC 2023

作者： Zheng, Weike Wang, Haijiao Xie, Bao Mao, Meiqin China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing China Photovoltaic System Engineering Research Center Ministry of Education Hefei University of Technology Hefei China

ISBN: (纸本)9798350341294

Both the phase-locked loop (PLL) and the common coupling point (PCC) voltage feedforward may have impacts on the inverter system stability in weak grid. Therefore, a hybrid impedance reshaping control strategy is proposed in the paper. Firstly, the inverter impedance model is established. Next, the system stability is analyzed under weak grid, reflecting on the influence of PLL and the PCC voltage feedforward. Then, to improve the inverter system stability, the band-pass filter is added to the feedforward branch of PCC voltage, since it can attenuate the influence of unstable factors. Moreover, a new phase-locked loop structure containing a first-order decoupled complex filter is proposed, taking into account the fundamental positive voltage extraction characteristics of the first-order decoupled complex filter. The parameters of the hybrid impedance reshaping strategy are designed in detail. Finally, simulation is carried out to prove the theory analysis and hybrid impedance reshaping strategy in the paper. © 2023 IEEE.

关键词： Phase locked loops

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Nash Equilibrium Estimation of Non-Cooperative Games with Time-Varying Delay

Nash Equilibrium Estimation of Non-Cooperative Games with Ti...

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2023 China Automation Congress, CAC 2023

作者： Liu, Ziqi Zhai, Chao China University of Geosciences School of Automation Wuhan Campus China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan China

ISBN: (纸本)9798350303759

Time delay has great impacts on the stability and the reliability and real-time of the communication of multi-agent systems. In multi-agent communication network, due to network congestion, transmission distance and other factors, there are various communication delays. In this paper, we study the deviation of convergence value after adding time-varying delays under gradient descent method, and the upper bound related to delay time is estimated. This upper bound can be used to analyze the magnitude of deviation under different time delays and minimize the loss caused by delays, and provide more explicit information for system optimization and resource allocation. Numerical simulation is conducted to verify the proposed approach. © 2023 IEEE.

关键词： Time delay

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Multi-branch low-light enhancement algorithm based on spatial transformation

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Multimedia Tools and Applications 2025年第18期84卷 19647-19667页

作者： Wang, Wenlu Sun, Ying Zou, Chunlong Tang, Dalai Fang, Zifan Tao, Bo Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan430081 China School of Computer Information Management Inner Mongolia University of Finance and Economics Hohhot010051 China College of Mechanical Engineering Hubei University of Automotive Technology Shiyan442000 China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan430081 China Precision Manufacturing Research Institute Wuhan University of Science and Technology Wuhan430081 China Hubei Key Laboratory of Hydroelectric Design & Maintenance China Three Gorges University Yichang443002 China

Many state-of-the-art low-light image enhancement techniques now suffer from issues like color distortion, detail blurring, and the halo effect, hindering their ability to produce visual effects. This paper presents a multi-branch low-light enhancement algorithm based on spatial transformation to significantly improve the visual impact of images under low-light settings, overcoming the limitations of existing approaches. The process involves dividing the initial low-light picture into three distinct layers. Bootstrap filtering and Contrast Limited Adaptive Histogram Equalization are used to process the main feature layer. Primary feature extraction is used to extract features for the compensation layer, which is then integrated with Contrast Limited Adaptive Histogram Equalization and MSRCR. The auxiliary layer utilizes spatial transformation to apply gamma correction to the V-channel and performs color space transformation and additional processing. Ultimately, these three layers are combined and refined to create the final improved image. Based on the experimental results, the proposed method outperforms the standard MSRCR algorithm by 52.47%, 71.58%, and 12.10%, respectively, on the assessment metrics AG, SD, and IE. LOE declines by 22.3%. The processed image presents a good visual quality, effectively enhancing the image brightness while retaining a large amount of information and improving the image details. This paper proposes an effective method to deal with the problem of low illumination image enhancement, which provides a strong reference for future research and application in related fields. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Image enhancement

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Oxidation Mechanism and Toxicity Evolution of Linalool,a Typical Indoor Volatile Chemical Product

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Environment & Health 2024年第7期2卷 486-498页

作者： Zihao Fu Song Guo Ying Yu Hong-Bin Xie Shiyu Li Daqi Lv Putian Zhou Kai Song Zheng Chen Rui Tan Kun Hu Ruizhe Shen Maosheng Yao Min Hu State Key Joint Laboratory of Environmental Simulation and Pollution Control International Joint Laboratory for Regional Pollution ControlMinistry of Education(IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing 210044China Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education) School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024China Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of HelsinkiP.O.Box 64FIN-00014 HelsinkiFinland

Linalool,a high-reactivity volatile chemical product(VCP)commonly found in cleaning products and disinfectants,is increasingly recognized as an emerging contaminant,especially in indoor *** the gas-phase oxidation mechanism of linalool is crucial for assessing its impact on atmospheric chemistry and human *** quantum chemical calculations and computational toxicology simulations,we investigated the atmospheric transformation and toxicity evolution of linalool under low and high NO/HO_(2)·levels,representing indoor and outdoor *** findings reveal that linalool can undergo the novel mechanisms involving concerted peroxy(RO_(2)·)and alkoxy radical(RO·)modulated autoxidation,particularly emphasizing the importance of cyclization reactions *** expands the widely known RO_(2)·-dominated H-shift-driven autoxidation and proposes a generalized autoxidation mechanism that leads to the formation of low-volatility secondary organic aerosol(SOA)*** analysis shows that over half of transformation products(TPs)exhibited higher carcinogenicity and respiratory toxicity compared to *** also propose time-dependent toxic effects of TPs to assess their long-term *** results indicate that the strong indoor emission coupled with slow consumption rates lead to significant health risks under an indoor *** results highlight complex indoor air chemistry and health concerns regarding persistent toxic products during indoor cleaning,which involves the use of linalool or other VCPs.

关键词： volatile chemical products(VCPs) peroxy radicals(RO_(2)·) atmospheric autoxidation secondary organic aerosol(SOA) computational toxicology

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