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A novel adaptive coordinated tracking control scheme for a morphing aircraft with telescopic wings

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Chinese Journal of Aeronautics 2024年第2期37卷 148-162页

作者： Enmei WANG Hao LU Jianchun ZHANG chenliang WANG Jianzhong QIAO Hangzhou Innovation Institute Beihang UniversityHangzhou 310051China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

Inspired by flight biology,morphing flight technology has great potential to improve the adaptability and maneuverability of *** paper is devoted to the flight control problem of morphing aircraft,and aimed at safe and fuel-saving flight through morphing ***,the longitudinal dynamics of a morphing aircraft with telescopic wings is modelled as a strict-feedback nonlinear *** fitting the expression of aerodynamic parameters by the mor-phing ratio,the model uncertainties induced by morphing errors are embedded in the *** meet the safety and fuel-saving requirements,an Adaptive Coordinated Tracking Control Scheme(ACTCS)is then proposed,which consists of a morphing control module and a tracking control *** the morphing control module,an on-line morphing decision model is given in an optimization process with respect to the morphing ratio,and a second-order tracking filter is introduced to smooth the decision output and ensure the physical *** the tracking control module,the novel adaptive controllers for the velocity and altitude subsystems are proposed based on the dynamic surface control method,in which adaptive mechanisms are designed to com-pensate for the model ***,the proposed ACTCS is simulated in nine different cases of the test flight mission,to verify its effectiveness,robustness and fuel-saving effect.

关键词： Morphing aircraft Adaptive tracking control Morphing decision Dynamic surface control Morphing error

Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 252-254页

作者： chenliang Liu Yalin Wang Chunhua Yang Weihua Gui the School of Automation Central South UniversityChangsha 410083China IEEE

Dear Editor, This letter proposes a multimodal data-driven reinforcement learning-based method for operational decision-making in industrial processes. Due to the frequent fluctuations of feedstock properties and operating conditions in the industrial processes, existing data-driven methods cannot effectively adjust the operational variables. In addition, multimodal data such as images, audio.

关键词： processes modal adjust

Time-sensitive prediction of NO_(2. concentration in China using an ensemble machine learning model from multi-source data

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Journal of Environmental Sciences 2024年第3期137卷 30-40页

作者： chenliang Tao Man Jia Guoqiang Wang Yuqiang Zhang Qingzhu Zhang Xianfeng Wang Qiao Wang Wenxing Wang Big Data Research Center for Ecology and Environment Environment Research InstituteShandong UniversityQingdao 266237China Shandong Provincial Eco-environment Monitoring Center Jinan 250101China

Nitrogen dioxide(NO_(2.)poses a critical potential risk to environmental quality and public health.A reliable machine learning(ML)forecasting framework will be useful to provide valuable information to support government *** on the data from1609 air quality monitors across China from 2.14-2.2.,this study designed an ensemble ML model by integrating multiple types of spatial-temporal variables and three sub-models for time-sensitive prediction over a wide *** ensemble ML model incorporates a residual connection to the gated recurrent unit(GRU)network and adopts the advantage of Transformer,extreme gradient boosting(XGBoost)and GRU with residual connection network,resulting in a 4.1%±1.0%lower root mean square error over XGBoost for the test *** ensemble model shows great prediction performance,with coefficient of determination of 0.91,0.86,and 0.77 for 1-hr,3-hr,and 2.-hr averages for the test results,*** particular,this model has achieved excellent performance with low spatial uncertainty in Central,East,and North China,the major site-dense *** the interpretability analysis based on the Shapley value for different temporal resolutions,we found that the contribution of atmospheric chemical processes is more important for hourly predictions compared with the daily scale predictions,while the impact of meteorological conditions would be ever-prominent for the *** with existing models for different spatiotemporal scales,the present model can be implemented at any air quality monitoring station across China to facilitate achieving rapid and dependable forecast of NO_(2.,which will help developing effective control policies.

关键词： Air quality prediction Deep learning Ensemble method Nitrogen dioxide Spatiotemporal covariates

Anchoring Ru clusters to highly defective N-doped carbon nanotubes via a thermal-shock strategy for stable industrial hydrogen evolution

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Nano Research 2024年第6期17卷 5261-5269页

作者： Zhiming Li Xinyu Li Haiqing Ma chenliang Ye Hongan Yu Long Nie Meng Zheng Jin Wang College of Materials Science and Engineering Shenzhen UniversityShenzhen 518060China School of Chemistry and Materials Science Anhui Normal UniversityWuhu 241002China Department of Power Engineering North China Electric Power UniversityBaoding 071003China

Non-Pt or low-Pt catalysts capable for stable generation of hydrogen via water electrolysis at an industrial level of current density are highly *** of strong metal-support connection is beneficial to improve the performance stability of *** we employed highly defective N-doped carbon nanotubes(d-N-CNT)as the support to achieve uniform and firm anchoring of Ru clusters(~1.9 nm)via a thermal-shock *** as-prepared Ru/d-N-CNT catalyst shows excellent catalytic activity for hydrogen evolution reaction(HER)in alkaline media and requires an overpotential(ƞ)of 12.mV at 10 mA·cm^(−2.and 116 mV at 2.0 mA·cm^(−2.with a Ru loading of 0.02. mg·cm^(−2..Impressively,Ru/d-N-CNT presents robust stability for HER at both low current density(stable for at least 1000 h at 10 mA·cm^(−2.)and the industrial level of current density(stable for at least 100 h at 1000 mA·cm^(−2.),remarkably outperforming commercial Pt/C and Ru/*** highly defective nature of the N-CNT support endowed the as-prepared Ru/d-N-CNT catalyst with strong metal-support adhesion that efficiently suppressed agglomeration as well as obscission of Ru ***,the rich defects increased the surface energy of the N-CNT support and resulted in improved hydrophilicity as evidenced by the liquid contact angle measurement and the bubble evolution process,which also played an important role in stabilizing the HER performance especially at large current density.

关键词： thermal-shock method hydrogen evolution reaction large-current-density Ru cluster

Balancing electron transfer and intermediate adsorption ability of metallic Ni-Fe-RE-P bifunctional catalysts via 4f-2.-3d electron interaction for enhanced water splitting

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Journal of Energy Chemistry 2024年第7期94卷 458-465页

作者： Hong-Rui Zhao Cheng-Zong Yuan chenliang Zhou Wenkai Zhao Lunliang Zhang Cong-Hui Li Lei Xin Fuling Wu Shufeng Ye Xiaomeng Zhang Yunfa Chen School of Rare Earths University of Science and Technology of ChinaHefei 230026AnhuiChina Jiangxi Province Research Institute of Rare Earths Ganjiang Innovation AcademyChinese Academy of SciencesGanzhou 341119JiangxiChina State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China

Balancing electron transfer and intermediate adsorption ability of bifunctional catalysts via tailoring electronic structures is crucial for green hydrogen production,while it still remains challenging due to lacking efficient ***,one efficient and universal strategy is developed to greatly regulate electronic structures of the metallic Ni-Fe-P catalysts via in-situ introducing the rare earth(RE)atoms(Ni-Fe-RE-P,RE=La,Ce,Pr,and Nd).Accordingly,the as-prepared optimal Ni-Fe-Ce-P/CC self-supported bifunctional electrodes exhibited superior electrocatalytic activity and excellent stability with the low overpotentials of 2.7 and 331 mV at 100 mA cm^(-2. for HER and OER,*** the assembled electrolyzer,the Ni-Fe-Ce-P/CC as bifunctional electrodes displayed low operation potential of 1.49 V to achieve a current density of 10 mA cm^(-2.,and the catalytic performance can be maintained for 100 *** results combined with density functional theory(DFT)calculation reveal that Ce doping leads to electron decentralization and crystal structure distortion,which can tailor the band structures and d-band center of Ni-Fe-P,further increasing conductivity and optimizing intermediate adsorption *** work not only proposes a valuable strategy to regulate the electron transfer and intermediate adsorption of electrocatalysts via RE atoms doping,but also provides a deep under-standing of regulation mechanism of metallic electrocatalysts for enhanced water splitting.

关键词： RE atoms Electron transfer Adsorption energy Oxygen evolution Hydrogen evolution

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数据共享与数据财产化

四川师范大学学报（社会科学版） 2024年第2期51卷 59-67,200,201页

作者：梅傲柯晨亮西南政法大学争端解决国际竞争力研究中心

大数据时代的数据因其价值客观被视作一种财产,由于不同数据主体对于数据财产的利益平衡需求的客观存在,因此数据财产化制度的构建具有合理性与必要性。我国已存在数据财产化的立法、司法和政策基础。数据共享行为既是数据财产化的“因... 详细信息

大数据时代的数据因其价值客观被视作一种财产,由于不同数据主体对于数据财产的利益平衡需求的客观存在,因此数据财产化制度的构建具有合理性与必要性。我国已存在数据财产化的立法、司法和政策基础。数据共享行为既是数据财产化的“因”,也是数据财产化的“果”。我国数据财产化应采取数据人格权与财产权并行保护的基本立法模式,但是政府数据及敏感的企业数据应适用数据“控制论”模式规制。同时,针对个人用户与企业间的数据共享问题,建议采取事前数据财产权交易模式解决;针对企业间数据共享问题,建议立法时应从实践案例出发,自下而上地进行数据类型化、场景化立法,对企业数据财产权的具体内容进行确权与分配。

关键词：数据财产化数据共享数据保护个人用户企业数据

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原位衰减全反射表面增强红外光谱示踪单原子催化二氧化碳电还原反应中间体的研究进展

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Chinese Journal of Catalysis 2024年第7期62卷 32-52页

作者：严靖倪嘉琪孙宏丽苏陈良刘彬深圳大学光电子工程学院微纳光电子学研究院教育部二维材料光电科技国际合作联合实验室广东深圳518060 香港城市大学材料科学与工程学系中国香港999077 香港城市大学化学系香港清洁能源研究所及超级金刚石与先进薄膜研究中心中国香港999077

电催化二氧化碳还原反应(CO_(2.RR)涉及多个电子和质子转移,动态演变过程复杂.具有结构简单性和均匀性的单原子催化剂(SACs)是研究上述复杂过程的理想模型催化剂,有利于理解催化构效关系.原位衰减全反射表面增强红外光谱技术为识别单原... 详细信息

电催化二氧化碳还原反应(CO_(2.RR)涉及多个电子和质子转移,动态演变过程复杂.具有结构简单性和均匀性的单原子催化剂(SACs)是研究上述复杂过程的理想模型催化剂,有利于理解催化构效关系.原位衰减全反射表面增强红外光谱技术为识别单原子催化CO_(2.RR的动态演变过程提供了有利方法.本文总结了原位红外光谱在电催化CO_(2.RR研究中的应用:首先,简要介绍了电化学衰减全反射表面增强红外光谱的表面增强机制;详细探讨了原位衰减全反射表面增强红外光谱技术在研究原子级金属催化剂催化CO_(2./CORR反应动态演变过程的关键作用;简述了原位红外谱图确定界面水的相关信息以及电极局部pH值的定量方法.原位电化学红外光谱技术加深了对CO_(2.RR反应机制的理解,揭示了催化剂结构、电解质种类、分子吸附方式等对反应活性和选择性的调控规律.尽管研究已取得较大进展,但由于电催化CO_(2.RR的复杂性,学者对该反应的认知仍不够全面和深入,面临的机遇和挑战如下:(1)精准辨识CO_(2.RR关键中间体/生成物.特别是当中间体/生成物的特征峰与其他峰重叠时,精准识别相关特征峰将极具挑战.一方面,需进一步提高原位光谱技术分辨率;另一方面,近年来深度学习算法在光谱分析领域的应用为中间体/生成物混合特征峰的精准识别提供了有效方案,此类算法能建立变量之间的关系,实现光谱中特征信息的智能、精准提取;(2.深入解析CO_(2.RR机理和复杂的反应路径.目前,研究者尚难以通过直接实验手段明确CO_(2.RR路径.原位电化学红外光谱技术结合密度泛函理论(DFT)是明确CO_(2.RR中间体和反应途径的可行方案,能够进一步指导反应条件优化和催化剂结构设计;(3)建立工况下的原位CO_(2.RR机理研究方案.膜电极组件(MEA)电解槽通过使用膜直接连接阴极气体扩散电极和阳极,有效解决了H型反应器的局限性,具有工业应用前景.然而,基于MEA的工况条件CO_(2.RR机制研究鲜有报道.因此,需要开发工况条件下的原位电化学光谱技术,以探究三相界面分子尺度关键中间体/生成物动态演变,并建立工况条件的CO_(2.RR催化构效关系,这将有助于提高工况下的选择性、转化效率,以及实现更高价值的多碳产品的规模生产,并进一步指导高效反应器设计.综上,本文详细综述了原位红外光谱在电化学CO_(2.RR研究中的应用,并对电催化CO_(2.RR目前遇到的问题提出了解决方案,希望对广大科研工作者利用原位红外光谱进一步深入研究电催化CO_(2.RR提供参考和借鉴.

关键词：二氧化碳电还原单原子催化剂电化学原位衰减全反射表面增强红外光谱反应动态演变过程界面水

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部分地锚式斜拉桥钢-混结合段力学性能分析

桥梁建设 2024年第4期54卷 93-98页

作者：阳晏覃作伟廖原陶辰亮武汉理工大学材料科学与工程学院湖北武汉430061 湖北省交通规划设计院股份有限公司湖北武汉430050

丹江口水库特大桥为主跨760 m的双塔部分地锚式混合梁斜拉桥,主梁钢-混结合段设置在主跨侧距桥塔中心线2. m处,总长6 m,采用多格室后承压板式构造,由后承压板、钢格室和预应力钢绞线等组成。为验证大桥钢-混结合段构造设计的合理性,明确... 详细信息

丹江口水库特大桥为主跨760 m的双塔部分地锚式混合梁斜拉桥,主梁钢-混结合段设置在主跨侧距桥塔中心线2. m处,总长6 m,采用多格室后承压板式构造,由后承压板、钢格室和预应力钢绞线等组成。为验证大桥钢-混结合段构造设计的合理性,明确钢-混结合段的受力性能及传力特征,采用ANSYS软件建立钢-混结合段有限元模型,分析承载能力极限状态轴力最不利荷载组合下钢-混结合段钢格室、承压板、格室填充混凝土、开孔板剪力键等主要部件的受力,以及主要传力构件的传力比。结果表明:钢-混结合段总体应力分布均匀,各构件受力指标均满足设计要求,钢-混结合段刚度过渡均匀,传力平顺,有效避免了刚度突变导致的应力集中;钢-混结合段剪力传递以边箱格室剪力键为主,顺桥向随格室填充混凝土与开孔板相对滑移累积,开孔板剪力键剪力逐渐增大;承压板承压传递与钢格室承剪传递轴力比例相当。该桥采用的多格室后承压板式构造,实现了承压板与钢格室承压传剪协同作用,改善了钢-混结合段的受力性能。

关键词：斜拉桥混合梁钢-混结合段多格室构造开孔板剪力键受力分析有限元法

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数字化技术在电气制造工程中的应用

电子技术（上海） 2024年第3期53卷 284-285页

作者：金晨亮浙江双成电气有限公司浙江312300

阐述数字技术在工业电气自动化中的优势,探讨应用数字化技术在工业电气自动化中的创新措施,包括智能终端、程序化操作、虚端子的应用。

关键词：数字化技术电气自动化智能终端虚端子