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SSRN 2024年

作者： Guo, Zhibin Yan, Jihong Cao, Liyong Chen, Huazhi State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin150001 China Laboratory for Space Environment and Physical Sciences Harbin Institute of Technology Harbin150001 China

In deep space exploration, spacecrafts are exposed to electron radiation for a long mission period, which brings a more prominent effect on the performance of their moving components. However, the current experiment and numerical methods struggle to address the issue owing to accuracy and efficiency limitations, because such influences involve the multi-scale change from material properties to component characteristics. In this paper, the ultrasonic motor stator is selected as the typical component to investigate its vibration characteristics under electron radiation. A cross-level vibration prediction method based on the edge-based smoothed finite element method (ES-FEM) is proposed through constructing the cross-scale change of material property. The cross-scale degeneration model of material mechanical property is established by constructing the correlation between the degradation of molecular chains and mechanical property for exploring the material property. By introducing the gradient smoothing technique, the ES-FEM is developed to investigate the vibration characteristics considering the material property change, offering superior accuracy and efficiency. The experiments of 1.2MeV electron radiation under different electron fluence are carried out, which can be verified for the cross-level transmission of vibration. And the numerical examples also demonstrate that the present method can achieve higher accuracy and efficiency than the traditional ones, while aligning closely with experiment results. © 2024, The Authors. All rights reserved.

关键词： Numerical methods

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Charging process simulation of a coil by a self-regulating high-T_(c)superconducting flux pump

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Superconductivity 2023年第3期7卷 77-87页

作者： Pengbo Zhou Yanyu Zhou Mark Ainslie Asef Ghabeli Francesco Grilli Guangtong Ma State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong UniversityChengdu 610000China Institute for Technical Physics Karlsruhe Institute of TechnologyKarlsruhe 76344Germany Department of Engineering King’s College LondonLondon WC2R 2LSUK

Self‐regulating high‐temperature superconducting(HTS)flux pumps enable direct current injection into a closed‐loop superconducting coil without any electrical *** this work,the process of charging a coil by a self‐regulating HTS flux pump is examined in detail by numerical *** proposed model combines an H‐formulation finite element method(FEM)model with an electrical circuit,enabling a comprehensive evaluation of the overall performance of self‐regulating HTS flux pumps while accurately capturing local *** results indicate that the proposed model can capture all the critical features of a self‐regulating HTS flux pump,including superconducting properties and the impact of the secondary *** the numerical results are compared to the experimental data,the presented model is found to be acceptable both qualitatively and *** on this model,we have demonstrated how the addition of a milliohm range,normal‐conducting secondary resistance in series with the charging loop can improve the charging *** addition,its impact on the charging performance is revealed,including the maximum achievable current,charging speed,and the generated *** modeling approach employed in this study can be generalized to the optimization and design of various types of flux pumps,potentially expediting their practical application.

关键词： Numerical simulation Electrical circuit model High‐temperature superconductor(HTS) Flux pumps H‐formulation HTS coils HTS modeling

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Implementation of Multi-Channel TEC Temperature Control system 2

Implementation of Multi-Channel TEC Temperature Control Syst...

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2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control technology, CEI 2022

作者： Jiang, Menxue Han, Shuo Ding, Chenyang Academy for Engineering and Technology Fudan University Shanghai China School of Microelectronics Fudan University State Key Laboratory of Asic and System Shanghai China

ISBN: (数字)9781665476164

ISBN: (纸本)9781665476164

This paper develops a thermoelectric cooler (TEC) temperature control system based on the field-programmable gate array (FPGA). Multi-channel analog-to-digital converters (ADCs) acquire temperature data from the temperature sensors, with resolution of 0.002°C. The noises of the acquired data are processed and reduced using the principle of noise correlation, which is realized in an integrated Digital Signal Processing (DSP). Temperature control algorithm is implemented in the FPGA. Control signals are sent to multi-channel digital to analog converters (DACs) to control the current amplifiers, which drive multiple thermal actuators to heat or cool a temperature-sensitive plant. An ARM microcontroller is used to exchange data between DSP and FPGA. Such a system can be used for temperature control of a micro-positioner. © 2022 IEEE.

关键词： Digital to analog conversion

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Energy management strategies for hybrid ships and Unmanned Underwater Vehicles 5

Energy management strategies for hybrid ships and Unmanned U...

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2022 5th International Conference on Power Electronics and Control Engineering, ICPECE 2022

作者： Zhang, Mengyao Gu, Haitao Guo, Jianhua School of Chemical Process Automation Shenyang University of Technology China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China

Both ships and unmanned underwater vehicles (UUVs) have played a great role in the human exploration of the ocean and the investigation of marine resources. Their endurance of them is limited by the onboard energy storage, and the benefits of hybrid ships and UUVs in terms of energy conservation and emission reduction technologies are increasingly clear. The secret to attaining energy conservation while maintaining power performance is energy management. The management of energy for hybrid ships and UUVs are summarized in this work. First, this article includes the state of the art in energy management techniques for autonomous maritime vehicles and hybrid ships. and summarizes the hybrid energy management objectives for different purposes. Second, it analyses the latest progress of hybrid energy management strategies at the present stage and compares the benefits and drawbacks of existing energy management strategies in a comprehensive and in-depth manner. Finally, the paper summarizes their shortcomings and provides an outlook on the future development of hybrid energy management strategies. © Published under licence by IOP Publishing Ltd.

关键词： Energy management

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4‑Terminal Inorganic Perovskite/Organic Tandem Solar Cells Offer 22%Efficiency

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Nano-Micro Letters 2023年第2期15卷 172-181页

作者： Ling Liu Hanrui Xiao Ke Jin Zuo Xiao Xiaoyan Du keyou Yan Feng Hao Qinye Bao Chenyi Yi Fangyang Liu Wentao Wang Chuantian Zuo Liming Ding Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijing 100190People’s Republic of China School of Metallurgy and Environment Central South UniversityChangsha 410083People’s Republic of China School of Physics State Key Laboratory of Crystal MaterialsShandong UniversityJinan 250100People’s Republic of China School of Environment and Energy South China University of TechnologyGuangzhou 510000People’s Republic of China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 610054People’s Republic of China School of Physics and Electronic Science East China Normal UniversityShanghai 200241People’s Republic of China State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijing 100084People’s Republic of China School of Materials Science and Engineering Zhejiang Sci-Tech UniversityHangzhou 310018People’s Republic of China Key Laboratory of Semiconductor Materials Science Beijing Key Laboratory of Low Dimensional Semiconductor Materials and DevicesInstitute of SemiconductorsChinese Academy of SciencesBeijing 100083People’s Republic of China

After fast developing of single-junction perovskite solar cells and organic solar cells in the past 10 years,it is becoming harder and harder to improve their power conversion *** solar cells are receiving more and more attention because they have much higher theoretical efficiency than single-junction solar *** device performance has been achieved for perovskite/silicon and perovskite/perovskite tandem solar cells,including 2-terminal and 4-terminal ***,very few studies have been done about 4-terminal inorganic perovskite/organic tandem solar *** this work,semi-transparent inorganic perovskite solar cells and organic solar cells are used to fabricate 4-terminal inorganic perovskite/organic tandem solar cells,achieving a power conversion efficiency of 21.25%for the tandem cells with spin-coated perovskite *** using drop-coating instead of spin-coating to make the inorganic perovskite films,4-terminal tandem cells with an efficiency of 22.34%are *** efficiency is higher than the reported 2-terminal and 4-terminal inorganic perovskite/organic tandem solar *** addition,equivalent 2-terminal tandem solar cells were fabricated by connecting the sub-cells in *** stability of organic solar cells under continuous illumination is improved by using semi-transparent perovskite solar cells as filter.

关键词： 4-Terminal tandem solar cells Inorganic perovskite solar cells Organic solar cells Semitransparent Drop-coating

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Research and Development for the Hurdle Avoidance During Transplanting Manipulation Based on Kinect Vision Processing

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American Journal of Biochemistry and Biotechnology 2022年第4期18卷 370-377页

作者： Chen, Kaikang Yuan, Yanwei Zhao, Bo Zhou, Liming Li, Ruoshi Niu, Kang Xu, Minghan Wang, Changwei Han, Nana Jin, Xin Zheng, Yongjun College of Engineering China Agricultural University Beijing China The State Key Laboratory of Soil Plant and Machine System Technology Chinese Academy of Agricultural Mechanization Sciences Beijing China College of Agricultural Equipment Engineering Henan University of Science and Technology Luoyang China

To avoid damage to plants during the transplanting process, a transplanting method based on the combination of the Kinect machine visual system and the low-damage transplanting end effector was proposed to reduce the damage to the stems and leaves from transplanting end effectors during the transplanting process. The inclined manipulator was designed can avoid the characteristics of the seedling itself during the transplanting process to avoid obstacles. Under the experimental condition, the oblique transplanting manipulator assisted by the Kinect vision processing system achieved 4.70% leaf damage, 16.70% stem bending, 83.45% substrate integrity, and the transplanting quality parameters were 87.36%. The completion time of a single transplant was 8.32±0.4 s, the results proved that the low-damage transplanting manipulator based on the machine vision system can effectively reduce the damage rate of the stems and leaves. This obstacle avoidance transplant method can be extended to seedlings planted in 50 plugs. Research and development for hurdle avoidance during transplanting manipulation based on Kinect vision processing can provide theoretical support for future obstacle avoidance transplantation. © 2022, Science Publications. All rights reserved.

关键词： Motion planning

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Multi-Objective Coordination and Stability Control of High Proportion Wind Power system Based on K-Domain Tuning Damping 19th

Multi-Objective Coordination and Stability Control of High P...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Zhang, Qingtao Gao, Diju Zhang, Dan Cai, Haiqing Gu, Haohan Chen, Wei Wu, Wencong Chen, Zhihao Institute of Logistics Engineering Shanghai Maritime University Shanghai China Institute of Logistic Science and Engineering Shanghai Maritime University Shanghai China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9789819608966

With the further development of "double high" characteristics of power system, the traditional stability problem dominated by synchronous generator has gradually evolved into a new stability problem dominated by power electronic equipment control. In addition, different types of failure problems can occur in wind power systems. In order to achieve multi-objective coordinated and stable operation of high proportion wind power system, a damping control method with parameters tuning is proposed, which includes the design of filtering link and proportional amplification link. Among them, the key parameters of the proportional link are adjusted. Finally, the feasibility of the proposed control method is verified by simulation tests. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Electric power system stability

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Dynamic Characteristics of a Deployable Large Support Arm with Uncertain Parameters

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Advances in Astronautics Science and technology 2022年第4期5卷 357-362页

作者： Zhang, Shaohui Liu, Fan Sun, Wei Pan, Yaozong Zhao, Yan Luo, Wenbo Beijing Institute of Spacecraft System Engineering Beijing 100094 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian 116023 China

The dynamic characteristics of a large deployable support arm with uncertain parameters are studied. Due to the processing, manufacturing and other reasons, uncertainty is common in the actual structure, especially for the main bearing structure of high-precision imaging, the uncertainty becomes an important influence that cannot be ignored. In this paper, the modified perturbation method is used to study the change in the structural dynamic characteristics when the elastic modulus of the support arm has a small parameter variation, and the Monte Carlo simulation is used to verify the comparison. The natural vibration characteristics of the support arm structure are measured from the perspective of the statistical characteristics of probability. © 2022, Chinese Society of Astronautics.

关键词： Dynamic characteristics Support arm Uncertain parameters

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Spatial Correspondence between Graph Neural Network-Segmented Images

arXiv

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arXiv 2023年

作者： Li, Qian Fu, Yunguan Yang, Qianye Du, Zhijiang Yu, Hongjian Hu, Yipeng Department of Medical Physics and Biomedical Engineering University College London London United Kingdom State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

Graph neural networks (GNNs) have been proposed for medical image segmentation, by predicting anatomical structures represented by graphs of vertices and edges. One such type of graph is predefined with fixed size and connectivity to represent a reference of anatomical regions of interest, thus known as templates. This work explores the potentials in these GNNs with common topology for establishing spatial correspondence, implicitly maintained during segmenting two or more images. With an example application of registering local vertebral sub-regions found in CT images, our experimental results showed that the GNN-based segmentation is capable of accurate and reliable localization of the same interventionally interesting structures between images, not limited to the segmentation classes. The reported average target registration errors of 2.2±1.3 mm and 2.7±1.4 mm, for aligning holdout test images with a reference and for aligning two test images, respectively, were by a considerable margin lower than those from the tested non-learning and learning-based registration algorithms. Further ablation studies assess the contributions towards the registration performance, from individual components in the originally segmentation-purposed network and its training algorithm. The results highlight that the proposed segmentation-in-lieu-of-registration approach shares methodological similarities with existing registration methods, such as the use of displacement smoothness constraint and point distance minimization albeit on non-grid graphs, which interestingly yielded benefits for both segmentation and registration. We, therefore, conclude that the template-based GNN segmentation can effectively establish spatial correspondence in our application, without any other dedicated registration algorithms. © 2023, CC BY.

关键词： Computerized tomography

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A hardware acceleration Framework of Reconfigurable Edge Modules for Convolutional Neural Networks

A hardware acceleration Framework of Reconfigurable Edge Mod...

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Annual Conference of Industrial Electronics Society

作者： Yiming Qiao Zidi Jia Shixiang Li Lei Ren Beihang University Beijing China Zhongguancun Laboratory State Key Laboratory of Intelligent Manufacturing System Technology Beihang University Beijing China

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

Edge computing exploits node devices situated in close proximity to terminals to deliver distributed computing services directly to users, with FPGAs serving as the predominant platform. With the amplification in volume and intricacy of deep learning models, effectively deploying these models on FPGA devices introduces substantial challenges. To counter this predicament, this paper introduces an FPGA-based hardware acceleration framework for reconfigurable edge devices tailored for Convolutional Neural Networks (CNNs). Initially, a method for dynamically quantizing network models is devised to markedly curtail model memory consumption. Subsequently, a meticulously engineered hardware acceleration unit is formulated to attain augmented computing parallelism via meticulous temporal redesign. Finally, model deployment on FPGA devices for inference verification is showcased utilizing fully connected and convolutional neural networks as exemplars. On the MNIST dataset, the FPGA inference unit attains remarkable accuracy and computational efficiency in comparison to CPUs and GPUs

关键词： Industrial electronics Solid modeling Computational modeling Memory management Parallel processing Convolutional neural networks Distributed computing Field programmable gate arrays Hardware acceleration Edge computing

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