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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Ren, Qicai Chen, Alian Wang, Wei Liu, Tong Shandong University School of Control Science and Engineering China

ISBN: (纸本)9798350351330

The passivity-based control (PBC) combined with disturbance-observer (DOB) can offer an alternative tracking control scheme with stronger robustness and anti-interference ability for the grid-tied inverter (GTI). However, due to variations in grid impedance, the traditional DOB-PBC method may result in the negative real part of the GTI's output impedance in both high-frequency and low-frequency ranges, leading to potential harmonic resonance or even system collapse. To improve the stability of the system, a full-frequency range impedance reshaping (FFRIR) method is proposed, which significantly reduces the negative impedance regions. In the proposed FFRIR method, the capacitor voltage feedforward and feedback links are respectively added to reshape the phase of the low-frequency range of the d-axis and q-axis output impedance;the capacitor current feedforward is designed to regulate the phase of the high-frequency range of output impedance. Finally, the three-phase GTI system that has been presented exhibits stable operation even when subjected to fluctuating grid impedance conditions, as evidenced by both simulation and experimental findings. © 2024 IEEE.

关键词： Electric inverters

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A Multi-Objective Orderly Charging Strategy for Electric Vehicles Considering Continuous State 10

A Multi-Objective Orderly Charging Strategy for Electric Veh...

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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Ren, Qiqi Liu, Tong Chen, Alian Shandong University School of Control Science and Engineering China

ISBN: (纸本)9798350351330

The growing popularity of electric vehicles intensifies the disorderly fluctuation of power load in residential areas, and it is urgent to manage the power. Orderly charging is an effective method that can effectively reduce power fluctuations. However, existing studies have not fully considered the impact of the multi-day charging frequency of vehicles on daily load fluctuation. Therefore, this paper proposes an orderly charging strategy considering a continuous state to reduce load fluctuation and charging costs. First, 600 vehicles are scheduled to travel within 30 days using the Monte Carlo method. Second, the objective function and constraints comprehensively consider load fluctuation and charging cost. Then, the multi-objective charge optimization is solved based on the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Finally, the simulation results are analyzed to verify the effectiveness of the proposed strategy. © 2024 IEEE.

关键词： Electric vehicles

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Effective corrosion protection of magnetic microwave absorber with designed macromolecular network barrier

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Rare Metals 2023年第2期42卷 558-571页

作者： Qing-Qing Hu Liang Chai Ke Liang Yan-Xin Jiang Guang Yang Lin-Bo Zhang Liang-Jun Yin Xin Wang Tao Liu Hai-Peng Lu Long-Jiang Deng School of Electronic Science and Engineering and National Engineering Research Center of Electromagnetic Radiation Control Materials University of Electronic Science and Technology of ChinaChengdu611731China

Carbonyl iron(CI)particles as magnetic microwave absorption material often suffer from serious corrosion under corrosive environment which leads to performance *** this study,fluorin-containing acrylate type polymer network layers with thickness ranging from tens of nanometers to around one hundred nanometers were formed continuously around *** crosslinked coating layer(named FT)effectively increases CI’s thermal decomposition temperature by at least 34%.The FT-coated CI(named CI-FT)was able to resist both inorganic and organic corrosive media attacking efficiently compared with bare *** surface polymer network could also help CI withstand organic medium dissolution which proved the firmness of *** voltammetry(CV)test revealed that the coating layer could significantly reduce maximum oxidation current density of CI by more than 45 *** polarization study during CV tests also confirmed that thicker FT coating layer could help CI sample stabilize corrosion current ***,the surface coating also enhanced the impedance matching properties of CI as microwave absorber and the CI-FT samples demonstrated improved microwave absorption properties which degenerated little after corrosive medium soaking compared with that of CI.

关键词： Carbonyl iron(CI) Corrosion protection Microwave absorption Fluorin-containing acrylate Cyclic voltammetry Corrosion process

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An Encoding-Decoding Framework Based on CNN for circ RNA-RBP Binding Sites Prediction

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Chinese Journal of Electronics 2024年第1期33卷 256-263页

作者： Yajing GUO Xiujuan LEI Yi PAN School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Department of Computer Science Georgia State University

Predicting RNA binding protein(RBP) binding sites on circular RNAs(circ RNAs) is a fundamental step to understand their interaction mechanism. Numerous computational methods are developed to solve this problem, but they cannot fully learn the features. Therefore, we propose circ-CNNED, a convolutional neural network(CNN)-based encoding and decoding framework. We first adopt two encoding methods to obtain two original matrices. We preprocess them using CNN before fusion. To capture the feature dependencies, we utilize temporal convolutional network(TCN) and CNN to construct encoding and decoding blocks, respectively. Then we introduce global expectation pooling to learn latent information and enhance the robustness of circ-CNNED. We perform circ-CNNED across 37 datasets to evaluate its effect. The comparison and ablation experiments demonstrate that our method is superior. In addition, motif enrichment analysis on four datasets helps us to explore the reason for performance improvement of circ-CNNED.

关键词： Circular RNAs (circRNAs) RNA binding proteins Convolutional neural network Temporal convolutional network Encoder-decoder network

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Research on multi-scale simulation and dynamic verification of high dynamic MEMS components in additive manufacturing

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Defence Technology 2025年 47卷 275-291页

作者： Lv, Sining Feng, Hengzhen Lou, Wenzhong Xiao, Chuan Li, Shiyi Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

Metal Additive Manufacturing (MAM) technology has become an important means of rapid prototyping precision manufacturing of special high dynamic heterogeneous complex parts. In response to the micro-mechanical defects such as porosity issues, significant deformation, surface cracks, and challenging control of surface morphology encountered during the selective laser melting (SLM) additive manufacturing (AM) process of specialized Micro Electromechanical System (MEMS) components, multi-parameter optimization and micro powder melt pool/macro-scale mechanical properties control simulation of specialized components are conducted. The optimal parameters obtained through high-precision preparation and machining of components and static/high dynamic verification are: laser power of 110 W, laser speed of 600 mm/s, laser diameter of 75 μm, and scanning spacing of 50 μm. The density of the subordinate components under this reference can reach 99.15%, the surface hardness can reach 51.9 HRA, the yield strength can reach 550 MPa, the maximum machining error of the components is 4.73%, and the average surface roughness is 0.45 μm. Through dynamic hammering and high dynamic firing verification, SLM components meet the requirements for overload resistance. The results have proven that MEM technology can provide a new means for the processing of MEMS components applied in high dynamic environments. The parameters obtained in the conclusion can provide a design basis for the additive preparation of MEMS components. © 2024 China Ordnance Society

关键词： Microchannels

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S-scheme heterojunction construction of Fe/BiOCl/BiVO4 for enhanced photocatalytic degradation of ciprofloxacin

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Progress in Natural science:Materials International 2024年第2期34卷 290-303页

作者： Guanlong Yu Qifang Sun Yi Yang Si Chen Yuannan Long Yifu Li Shiyong Ge Dian Zheng School of Hydraulic and Environmental Engineering Changsha University of Science & Technology Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province School of Environmental Engineering Wuhan Textile University

With the growing problem of water pollution caused by antibiotics,the development of photocatalysts with high photogenerated carrier separation efficiency is crucial.A high-efficiency microsphere Fe/BiOCl/BiVO4with Sscheme heterojunction was synthesized by solvothermal method and its ciprofloxacin（CIP） degradation performance were investigated under visible ***,FT-IR,SEM,EDS,HRTEM and XPS results show that the photocatalytic have good crystallization,morphology and the formed a *** photocatalytic performance of Fe/BiOCl/BiVO4for CIP was superior to pure BiOCl and BiVO4due to the microsphere and formed heterostructure between BiOCl and *** influencing factors of CIP degradation by Fe/BiOCl/BiVO4were investigated,and the results showed that Fe/BiOCl/BiVO4had high degradation efficiency not only at pH 5-9,but also in the presence of inorganic Cl-,NO3-and metal *** the optimal conditions,the degradation rate of CIP was up to 100% in 75 *** addition to CIP,the Fe/BiOCl/BiVO4photocatalysts degraded other organic pollutants,such as tetracycline,oxytetracycline,chlortetracycline,ofloxacin,levofloxacin,and rhodamine B,by more than 92%.The main active species were photogenerated holes（h+） and superoxide radicals（·O2-）.In addition,possible intermediates and toxicity of intermediates were analyzed and five potential pathways for CIP degradation were proposed.

关键词： BiOCl/BiVO4 Fe3+ doping Organic pollutant Photocatalysis S-scheme heterojunction

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Parameter estimation method for a linear frequency modulation signal with a Duffing oscillator based on frequency periodicity

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Chinese Physics B 2023年第8期32卷 237-246页

作者：张宁哲闫晓鹏吕明慧陈秀梅黄鼎琨 Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China

In view of the complexity of existing linear frequency modulation(LFM)signal parameter estimation methods and the poor antinoise performance and estimation accuracy under a low signal-to-noise ratio(SNR),a parameter estimation method for LFM signals with a Duffing oscillator based on frequency periodicity is proposed in this *** method utilizes the characteristic that the output signal of the Duffing oscillator excited by the LFM signal changes periodically with frequency,and the modulation period of the LFM signal is estimated by autocorrelation processing of the output signal of the Duffing *** this basis,the corresponding relationship between the reference frequency of the frequencyaligned Duffing oscillator and the frequency range of the LFM signal is analyzed by the periodic power spectrum method,and the frequency information of the LFM signal is *** results show that this method can achieve high-accuracy parameter estimation for LFM signals at an SNR of-25 dB.

关键词： linear frequency modulation(LFM)signal Duffing oscillator frequency periodicity parameter estimation

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In situ and on-line monitoring of cadmium in soil pore water using an automatic sampling integrated electrochemical sensor

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science China(Technological sciences) 2024年第9期67卷 2894-2904页

作者： KUANG JiaJie WEN JunLin CAI XiXi ZHOU LiHua YUAN Yong Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China School of Biomedical and Pharmaceutical Sciences Guangdong University of TechnologyGuangzhou 510006China

Cadmium(Cd) contamination in soil pore water is the primary pathway for Cd uptake by food crops,such as rice(Oryza sativa L.),posing significant risks to both food safety and human *** study presents a novel soil pore water metal sensor(SPW-Msensor) for in situ and online monitoring of Cd in soil pore water(Cd_(pw)).The SPW-Msensor integrates an automated sampling device,comprising a Rhizon sampler and a reciprocating series pump with an independent dual plunger drive,along with a portable electrochemical sensor consisting of a screen-printed electrode,flow cell,and portable *** SPW-Msensor enables the detection of Cd within a linear range of 50 to 300 ppb while exhibiting high anti-interference ***,it demonstrates excellent repeatability(relative standard deviation values(RSDs)<3.6%) across 30 measurements conducted within a 2-h *** method exhibits good agreement with results obtained using the standard ICP-MS method(RSDs<5%).Additionally,this study establishes a positive correlation between Cd_(pw)detected by the SPW-Msensor and total Cd concentration(Cd_(total)) in the soil with an R^(2) value equal to *** acquired from the SPW-Msensor can be utilized for predicting Cd_(total)through partial least squares regression modeling,achieving model quality score(Q^(2)) of 0.69,adjusted R^(2) of 0.9345,and root mean square error(RMSE) of *** SPW-Msensor demonstrates real-time monitoring capabilities for assessing Cd levels in acidified *** SPW-Msensor offers an efficient approach for in-situ and continuous monitoring of Cd_(pw)that provides valuable insights applicable to environmental and agricultural domains.

关键词： cadmium pore water electrochemical sensor in-situ monitoring soil

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Thermally-driven contraction asymmetric yolk-shell MnSe@C microsphere with boosted dielectric behaviors and microwave absorption

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Journal of Materials science & Technology 2024年第16期183卷 223-231页

作者： Hanxiao Jia Yuping Duan Chenxu Dou Likun Niu Naibo Wu Meng Wang Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116085China

The conventional selective template etching method to fabricate yolk-shell microwave absorbers is inconvenient and inefficient,so the thermally-driven contraction strategy was used to prepare asymmetric yolk-shell MnSe@C microsphere microwave absorbers via self-template directed *** self-templated oriented transformation enables compositional customization and enhances the template *** confinement effect of the carbon shell is crucial for realizing the thermally-driven contraction strategy and contributes to the strong conduction loss to MnSe@*** the other hand,the enhanced polarization loss benefits from the abundant heterogeneous interfaces and defects in the asymmetric yolk-shell MnSe@C *** rich cavities in the yolk-shell structure not only facilitate optimal impedance matching,but also promote the enhancement of multiple reflection loss(RL).As a result,the asymmetric yolk-shell MnSe@C microspheres obtain excellent microwave absorption perfor-mance,the minimum RL(RL_(min))and the maximum effective absorption bandwidth(EAB)reaching-54.4 dB and 5.1 GHz,respectively,at a thickness of 1.9 *** successful obtainment of the asymmetric yolk-shell MnSe@C microspheres paves the way for the convenient synthesis of the yolk-shell transitionmetal selenides(TMSs)microwave absorbers.

关键词： Thermally-driven contraction Yolk-shell MnSe Microwave absorption

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Meshfree-based physics-informed neural networks for the unsteady Oseen equations

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Chinese Physics B 2023年第4期32卷 151-159页

作者：彭珂依岳靖张文李剑 School of Mathematics and Data Science Shaanxi University of Science and TechnologyXi’an 710021China School of Electrical and Control Engineering Shaanxi University of Science and TechnologyXi’an 710021China

We propose the meshfree-based physics-informed neural networks for solving the unsteady Oseen ***,based on the ideas of meshfree and small sample learning,we only randomly select a small number of spatiotemporal points to train the neural network instead of forming a ***,we optimize the neural network by minimizing the loss function to satisfy the differential operators,initial condition and boundary ***,we prove the convergence of the loss function and the convergence of the neural *** addition,the feasibility and effectiveness of the method are verified by the results of numerical experiments,and the theoretical derivation is verified by the relative error between the neural network solution and the analytical solution.

关键词： physics-informed neural networks the unsteady Oseen equation convergence small sample learning

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