检索结果-内蒙古大学图书馆

A DSVM-based MPC Strategy with Magnetizing Inductance Online Identification Method for Thrust Ripple Suppression in Linear Induction Machine

引用

IEEE Transactions on Power Electronics 2025年

作者： Guo, Yingcong Xu, Wei Ge, Jian Xiao, Han Tang, Yirong Shangguan, Yongdao Southwest Jiaotong University School of Electrical Engineering Chengdu610031 China Beijing100190 China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Wuhan430074 China

The conventional discrete space vector modulation-based model predictive control (DSVM-MPC) strategies in linear induction machines (LIMs) have two problems, one is that the current harmonics and thrust ripple are large as accuracy of the voltage vector (VV) is insufficient under the limited computational burden, and the other is that the parameter robustness is poor. To solve these problems, an improved DSVM-MPC strategy with magnetizing inductance online identification method for LIMs is proposed. Firstly, an improved virtual VV discretization method and an optimal VV searching method are proposed, which can obtain more accurate VV with less computational burden compare to conventional DSVM-MPC strategies. Then, to improve the parameter robustness, a magnetizing inductance online identification method based on back electromotive force (EMF) is proposed, and a sliding mode observer (SMO) is designed to observe back EMF, which effectively avoids the current differential term. Furthermore, an adaptive compensation algorithm for cascaded low-pass filters is conceived to effectively suppress the inherent chattering of the SMO, and the amplitude and phase of the fundamental wave are appropriately compensated. Finally, the superiority of the proposed method is verified through comprehensive simulations and experiments on a 3kW LIM prototype. © 1986-2012 IEEE.

关键词： Low pass filters

来源：评论

学校读者我要写书评

暂无评论

Anti-Swelling Polyelectrolyte Hydrogel with Submillimeter Lateral Confinement for Osmotic Energy Conversion

引用

Nano-Micro Letters 2025年第4期17卷 96-110页

作者： Yongxu Liu Jiangnan Song Zhen Liu Jialin Chen Dejuan Wang Hui Zhi Jiebin Tang Yafang Zhang Ningbo Li Weijia Zhou Meng An Hong Liu Guobin Xue Institute for Advanced Interdisciplinary Research(iAIR) School of Chemistry and Chemical EngineeringUniversity of JinanJinan 250022People’s Republic of China College of Mechanical and Electrical Engineering Shaanxi University of Science and TechnologyXi’an 710021People’s Republic of China School of Physics and Technology University of JinanJinan 250022People’s Republic of China State Key Laboratory of Crystal Materials Shandong University27 Shandanan RoadJinan 250100People’s Republic of China

Harvesting the immense and renewable osmotic energy with reverse electrodialysis(RED)technology shows great promise in dealing with the ever-growing energy *** key challenge is to improve the output power density with improved trade-off between membrane permeability and ***,polyelectrolyte hydrogels(channel width,2.2 nm)with inherent high ion conductivity have been demonstrated to enable excellent selective ion transfer when confined in cylindrical anodized aluminum pore with lateral size even up to the submillimeter scale(radius,0.1 mm).The membrane permeability of the anti-swelling hydrogel can also be further increased with cellulose *** real seawater and river water,the output power density of a three-chamber cell on behalf of repeat unit of RED system can reach up to 8.99 W m^(-2)(per unit total membrane area),much better than state-of-the-art *** work provides a new strategy for the preparation of polyelectrolyte hydrogel-based ion-selective membranes,owning broad application prospects in the fields of osmotic energy collection,electrodialysis,flow battery and so on.

关键词： Ionic polymer Hydrogel Confinement effect Anti-swelling Osmotic energy conversion

来源：评论

学校读者我要写书评

暂无评论

Robust Practical Stabilization for Complex Dynamical Networks With DoS Attacks and Actuator Saturation

引用

IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3108-3118页

作者： Shi, Xueya Peng, Zhinan Yu, Junzhi Li, Hongfei Southwest University College of Electronic and Information Engineering Chongqing400715 China Sichuan Artificial Intelligence Research Institute Yibin644000 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Beijing100871 China

This article addresses the problem of designing an attack-resilient adaptive event-triggered (AET) controller for complex dynamical networks (CDNs) under DoS attacks and actuator saturation, with a focus on robust practical stability (RPS). First, considering the impact of DoS attacks on closed-loop systems, an AET controller against DoS attacks is designed. Unlike other event-triggered controllers, the complete timeline is divided, and the AET controller is built with two switching modes based on the intervals of dormant and active periods of DoS attacks in which the system is located. Second, to reconcile AET controller with actuator saturation, a switched system modeling approach is established that explicitly incorporates saturation constraints into the coupled network dynamics. Third, a switched Lyapunov-Krasovskii functional (LKF) is proposed, with which sufficient conditions are provided to ensured the RPS, and a joint design strategy is developed for the desired triggered matrix and feedback gain using linear matrix inequalities (LMIs). Moreover, the results are generalized to the case of actuator faults, indicating that the system is able to achieve RPS with actuator faults. Finally, the proposed method is verified through an example. © 2013 IEEE.

关键词： Lyapunov functions

来源：评论

学校读者我要写书评

暂无评论

High efficiency and a narrow spectrum spectral beam combining a module with a single grating external cavity

引用

Optics Express 2025年第9期33卷 18903-18911页

作者： Meng, Lingqian Zhang, Weiqiao Zhao, Bingxu Gao, Zijie Fu, Ting Hu, Man Zhou, Xuyan Zheng, Wanhua Laboratory of Solid State Optoelectronics Information Technology Institute of Semiconductors CAS Beijing100083 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China Weifang Academy of Advanced Opto-Electronic Circuits Weifang261071 China Shandong University School of Information Science and Engineering Qingdao266237 China Hangzhou Institute for Advanced Study Hangzhou310024 China State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors CAS Beijing100083 China College of Future Technology University of Chinese Academy of Sciences Beijing101408 China

A single grating multiple diffraction spectral beam combining (SBC) structure is proposed and demonstrated, which keeps high efficiency by using the methods of polarization separation and full feedback. The maximum combining efficiency is 81.1%, which leads to an output power of 12.3 W, and a spectrum width of 6.1 nm, under continuous wave operation at a current of 25 A. Compared to the combining efficiency of conventional SBC and double gratings SBC, the combining efficiency of this work is improved by 6%, and 17.3%, respectively. The results show that this believed to be novel SBC method is a prospective technique for increasing the combining efficiency of multiple diffraction SBC and getting a narrow spectrum. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Diffraction efficiency Diffraction gratings Diode lasers Laser arrays Laser beam combining Optical elements

来源：评论

学校读者我要写书评

暂无评论

Boosting Covalent Organic Framework Luminescence by Suppressing Nonradiative Pathways

引用

Chinese Journal of Chemistry 2025年第6期43卷 633-640页

作者： Minghao Liu Yuan-Zhe Cheng Yubin Fu Shuai Bi Xuesong Ding Bao-Hang Han Qing Xu Gaofeng Zeng CAS Key Laboratory of Low-Carbon Conversion Science and Engineering Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai201210 China Department of Chemistry Laboratory of Advanced MaterialsState Key Laboratory of Molecular Engineering of PolymersFudan UniversityShanghai200433 China CAS Key Laboratory of Nanosystem and Hierarchical Fabrication CAS Center for Excellence in NanoscienceNational Center for Nanoscience and TechnologyBeijing100190 China University of Chinese Academy of Sciences Beijing100049 China Center for Advancing Electronics Dresden(CFAED)and Faculty of Chemistry and Food Chemistry Technische Universität Dresden01062 DresdenGermany Max Planck Institute of Microstructure Physics Weinberg 206120 HalleGermany Department of Chemistry City University of Hong KongKowloonHong KongChina

Comprehensive Summary The construction of luminescent two-dimensional(2D)imine-linked covalent organic frameworks(COFs)is a formidable challenge due to the strong interlayer stacking and bond rotations that typically suppress intramolecular charge transfer(ICT),leading to nonradiative energy ***,three COFs with tailored interlayer distances and bond rotations are designed to modulate the ICT *** targeted COF(TPAZ-TPE-COF)achieved a significantly enhanced photoluminescence quantum yield(PLQY)of 21.22%in the solid state by restricting bond rotation and enlarging the layer *** represents a 3.5-fold and 530.5-fold improvement over TPAZ-PYTA-COF(6.15%),which has a shortened interlayer space,and TPAZ-PATA-COF(0.04%),which exhibits strong bond rotations,***,TPAZ-TPE-COF also exhibits exceptional sensing performance for iron ions,with a detection limit at the ppb *** experimental and theoretical analyses reveal that the prominent luminescent performance of TPAZ-TPE-COF is assigned to the effective suppression of nonradiative pathways,especially those arising from interlayer stacking and bond *** findings pave the way for deliberate construction of imine-linked 2D COFs with high PL intensity,thereby expanding the portfolio of luminescent COFs with potential applications in sensing and optoelectronics.

关键词： Covalent organic frameworks Photoluminescence Intramolecular charge transfer Nonradiative pathways Light-emitting diodes Porous polymers Sensors Molecular recognition

来源：评论

学校读者我要写书评

暂无评论

Constructing surface oxygen vacancy-rich ln2O3-x/tubular carbon nitride S-scheme heterojunction for selective biomass-derivative oxidation coupled with H2 production

引用

Journal of Materials Science and technology 2025年 236卷 301-309页

作者： Xia, Xukai Jia, Yanyan Wang, Weikang Zhang, Jifang Wang, Lele Liu, Qinqin School of Materials Science and Engineering Jiangsu University Zhenjiang212013 China Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center Institute of Fine Chemicals School of Chemistry & Molecular Engineering East China University of Science and Technology Shanghai 200237 China Key Laboratory of Materials Physics Anhui Key Laboratory of Nanomaterials and Nanotechnology Centre for Environmental and Energy Nanomaterials CAS Centre for Excellence in Nanoscience Institute of Solid State Physics Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei230031 China

The integration of selective oxidation of renewable biomass and its derivatives with hydrogen (H2) production holds significant potential for simultaneously yielding value-added chemicals and "green H2", contributing to addressing sustainability challenges. The S-scheme charge transfer mechanism enhances charge separation by maintaining strong redox potentials at both ends, facilitating both oxidation and reduction reactions. Herein, we synthesize a visible-light-responsive oxygen vacancy-rich In2O3-x/tubular carbon nitride (IOOV/TCN) S-scheme heterojunction photocatalyst via electrostatic adherence for selective 5-hydroxymethylfurfural (HMF) oxidation to 2,5-diformylfuran (DFF) and 2,5-furandicarboxylic acid (FDCA), alongside H2 production. Under anaerobic conditions and visible-light irradiation, the optimal IOOV/TCN-10 catalyst achieves an HMF conversion of 94.8% with a selectivity of 53.6% for DFF and FDCA, and a H2 yield of 754.05 μmol g−1 in 3 h. The significantly improved photocatalytic activity results from enhanced visible-light absorption, reduced carrier recombination, and abundant catalytic active sites due to the synergistic effect of surface oxygen vacancies, the hollow nanotube-based architecture, and the S-scheme charge transfer mechanism. This work highlights the great potentials of S-scheme heterojunctions in biomass conversion for sustainable energy use and chemical production. © 2025

关键词： Photocatalytic activity

来源：评论

学校读者我要写书评

暂无评论

Techno-economic analysis of fuel cell trucks with different powertrain hybridization and hydrogen resources by 2040: case study of China

引用

International Journal of Hydrogen Energy 2025年 132卷 174-182页

作者： Nan, Long Xu, Feiyang Sui, Pang-Chieh Feng, Yanbiao Hao, Han Li, Shunxi Huang, Feng Hubei Key Laboratory of Advanced Technology for Automotive Components Hubei Collaborative Innovation Center for Automotive Components Technology and Hubei Research Center for New Energy & Intelligent Connected Vehicle School of Automotive Engineering Wuhan University of Technology Hubei 430070 China Institute for Integrated Energy Systems University of Victoria VictoriaBCV8W 2Y2 Canada School of Mechanical Engineering University of Science & Technology Beijing Beijing100083 China State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing100084 China

This study conducts a techno-economic analysis of fuel cell electric trucks with different hybridization factors (i.e., the power distribution ratio between batteries and fuel cells) by evaluating their life-cycle carbon dioxide (CO2) emissions and total cost of ownership (TCO) from 2020 to 2040. It integrates the energy consumption of trucks with varying hybridization factors under different driving cycles with China's hydrogen production, transportation models, and electric grid structure. Through this analysis, the TCO and emissions of individual trucks are examined across different scenarios. The study reveals that highly hybridized trucks offer advantages in both emissions reduction and cost savings across all hydrogen production and transport pathways. A 67% hybridization factor results in a 5%-9% reduction in emissions and a 34%-46% decrease in TCO compared to the lowest hybridization factor. The energy-saving and emission-reducing effects of highly hybridized fuel cell electric vehicles (FCEVs) also depend on the driving cycle, with optimal performance observed in the Urban Dynamometer Driving Schedule for Heavy-Duty Vehicles (UDDSHDV) cycle, while minimal advantages appear in the China Heavy-Duty Commercial Vehicle Test Cycle for Heavy Trucks (CHTC-HT) cycle. Furthermore, life-cycle emissions of trucks decrease gradually over time for all hydrogen production pathways, with the electrolysis of grid electricity showing the fastest decline. By 2040, trucks powered by hydrogen from grid electricity will have slightly lower emissions than those using coal, while green hydrogen remains the cleanest option. In conclusion, adopting fuel cell trucks with high hybridization factors, powered by green hydrogen, presents significant economic and environmental benefits for the future of transportation. © 2025 Hydrogen Energy Publications LLC

关键词： Commercial vehicles

来源：评论

学校读者我要写书评

暂无评论

Effect of rhenium addition on microstructure and mechanical properties of Ti−48Al−2Cr−2Nb alloys

引用

Transactions of Nonferrous Metals Society of China 2025年第2期35卷 474-485页

作者： Sheng-hang XU Jun-jie LAN Meng HAN Hui-bin ZHANG Kai-jie SHEN Jun-pin LIN Hua-zhen CAO Guo-qu ZHENG College of Materials Science and Engineering Zhejiang University of TechnologyHangzhou 310014China State Key Laboratory of Powder Metallurgy Central South UniversityChangsha 410083China Advanced Materials Additive Manufacturing Innovation Research Center Hangzhou City UniversityHangzhou 310015China State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China

The refractory metal rhenium(Re),with content of 0−2 at.%,was introduced into a typicalγ-TiAl alloy of Ti−48Al−2Cr−2Nb(at.%)through vacuum arc *** effect of Re content on the microstructure and mechanical properties of theγ-TiAl alloy was *** results show that theγ-TiAl−xRe alloy is composed ofγ,α2,andβ*** the Re content increases,the proportion ofβphase increases,while the content and size ofα2+γlamellar structure decrease ***,the compressive strength increases with increasing Re content.A maximum compressive strength of 2282 MPa is achieved for theγ-TiAl−2Re ***γ-TiAl−2Re alloy exhibits a fracture strain of 36.7%,considerably higher than that of theγ-TiAl alloy(31.0%).Moreover,compared with theγ-TiAl alloy,the hardness and compressive strength of theγ-TiAl−2Re alloy considerably increase by 17.5%and 34.2%,respectively.

关键词： γ-TiAl alloy rhenium vacuum arc melting lamellar cluster mechanical properties strengthening mechanism

来源：评论

学校读者我要写书评

暂无评论

Joint Signal Adaptive Modulation Recognition and Radio Frequency Fingerprinting Based on Multi-task Learning 14th

Joint Signal Adaptive Modulation Recognition and Radio Freq...

引用

14th EAI International Conference on Wireless and Satellite Systems, WiSATS 2024

作者： Li, Zhuo He, Zhongqiu Xu, Congan Zhang, Wei Zha, Haoran Wang, Yu Tang, Zeyu Harbin Engineering University Harbin150001 China Naval Aviation University Yantai26400 China Advanced Technology Research institute Beijing institute of Technology Jinan250300 China National Key Laboratory of Electromagnetic SpaceSecurity Sichuan Chengdu610036 China Nanjing University of Posts and Telecommunications NanJing210003 China

ISBN: (纸本)9783031861956

Radio Frequency Fingerprinting Identification (RFFI) leverages inherent discrepancies in radiation source hardware, which are challenging to mimic and counterfeit. This attribute enhances the security of wireless networks and ensures the protection of data privacy, vital for secure communications. Inherent challenges such as channel fading and frequency drift affect radio signals. This paper explores the synergy between Automatic Modulation Recognition (AMR) and RFFI by employing a multi-label dataset to strategically influence the relationship between signal labels and individual radiation sources. We propose an advanced multi-gate mixture-of-experts convolutional neural network model, the MMOE-CNN-Transformer, which operates within a multi-task soft sharing framework. Our empirical results reveal that this model significantly enhances RFFI classification accuracy, particularly at a 0dB signal-to-noise ratio, outperforming traditional single-task learning (STL) approaches and surpassing the efficacy of hard sharing architectures, exemplified by the Shared-Bottom model. This study underscores the potential of integrating sophisticated neural network architectures in enhancing the robustness and precision of radio frequency identification systems. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Revealing atomic strengthening mechanism in CoNiV medium-entropy alloy via machine learning-guided simulations

引用

Journal of Materials Science and technology 2025年 238卷 66-77页

作者： Li, Wenyue Liu, Xiongjun Liu, Leqing Du, Qing Lin, Deye Chen, Xin He, Dong Wang, Shudao Wu, Yuan Wang, Hui Jiang, Suihe Zhang, Xiaobin Lu, Zhaoping Beijing Advanced Innovation Center for Materials Genome Engineering State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing Beijing100083 China School of Intelligent Manufacturing and Mechanical Engineering Hunan Institute of Technology Hengyang421002 China School of Materials Science and Engineering Ocean University of China Qingdao266100 China CAEP Software Center for High Performance Numerical Simulation Beijing100088 China Institute of Applied Physics and Computational Mathematics Beijing100094 China School of Materials Science and Engineering Dalian University of Technology Dalian116024 China

High/medium entropy alloys (H/MEAs) have shown unique strengthening behavior and mechanical properties because of the presence of massive local chemical orderings. Nevertheless, dynamic interactions between chemical short-range orders (CSROs) and dislocations, and the underlying atomic strengthening mechanism remain elusive. In this work, we first developed a novel machine learning-embedded atom method (ML-EAM) potential of the CoNiV system, trained on a comprehensive first-principles dataset, which enables accurate and efficient modeling of CSRO formation and dislocation dynamics. Then, we investigated the strengthening mechanisms of CSROs in CoNiV MEA through machine learning-augmented molecular dynamics (MD) simulations. Hybrid MD/Monte Carlo simulations reveal that CSRO domains possess an L12 (NiCo)3 V structure, whose size increases with lowering annealing temperatures. These domains significantly enhance strength by impeding dislocation motion through complex energy pathways, increasing depinning forces, and reducing mobility. Moreover, the MD simulations combined with theoretical analysis elucidate the competition between CSRO-assisted strengthening (via antiphase boundary formation) and solid solution weakening (via reduced atomic misfit volume). Phonon-drag effects are also amplified by CSROs, further resisting dislocation glide. Our results demonstrate that L12-CSROs strengthen CoNiV MEA primarily through antiphase boundary and phonon-drag contributions, providing new insights for designing high-performance multi-principal-element alloys via tailoring CSROs. © 2025

关键词： Turing machines

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：