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第40届中国控制会议

作者： Yongzhi Zhou Shoulin Hao Tao Liu Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Institute of Advanced Control Technology Dalian University of Technology

In this paper,a discrete-time domain two-degree-of-freedom（2 DOF） control design based on a generalized delay-free output predictor is proposed for stable and integrating processes with time ***,a generalized delay-free output predictor is constructed to obtain the delay-free output prediction,such that the controller design could be focused on the delay-free ***,two 2 DOF controllers are analytically designed to realize the set-point tracking and disturbance rejection,respectively,followed by robust stability analysis based on the small gain theory.A significant advantage of the proposed control scheme is that there exists only one adjustable parameter in the prediction filters,or the 2 DOF controllers,which could be monotonically tuned to make a trade-off between control performance and robust *** illustrative examples from the literature are given to demonstrate the effectiveness and superiority of the proposed method.

关键词： Stable and integrating processes time delay discrete-time domain two-degree-of-freedom（2DOF） predictor

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Spectral Calibration Model Building by Wavelet Function Regression for In-Situ Measurement of Crystallization Solution Concentration Using ATR-FTIR Spectroscopy

Spectral Calibration Model Building by Wavelet Function Regr...

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第32届中国过程控制会议(CPCC2021)

作者： Xiaojing Pei Tao Liu Siwei Yang Wei Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Institute of Advanced Control Technology Dalian University of Technology

For in-situ measurement of the solution concentration of crystallization process via ATR-FTIR Spectroscopy,a novel spectral calibration model building method is proposed in this paper for improving the real-time measurement accuracy,based on wavelet function *** wavelet basis functions are used to establish the model structure,which could address the nonlinear properties and high-dimensional problem of infrared spectral ***,a moving window strategy is given to select the spectral variables for modeling from all measured data,by evaluating the fitting accuracy on sample solution *** addition,a comparative study on measuring the solution concentration of L-glutamic acid(LGA) crystallization process is conducted in terms of using different spectral datasets from unsaturated and metastable zones for calibration model *** is found that using all the measured data for model building could obtain good measurement accuracy compared to separate modeling for each *** results well demonstrate the measurement accuracy and advantage of the proposed spectral calibration method over the existing methods.

关键词： In-situ measurement spectral calibration model crystallization solution concentration wavelet function regression moving window ATR-FTIR spectroscopy

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Investigation of microstructures and properties of graphene reinforced 20CrMnTi materials 8

Investigation of microstructures and properties of graphene ...

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2022 8th International Conference on Mechanical Engineering, Materials and Automation technology, MMEAT 2022

作者： Lu, Xiaogang Li, Yongsheng Meng, Zhongwen Chen, Yunbo State Key Laboratory of Advanced Forming Technology and Equipment Beijing National Innovation Institute of Lightweight Ltd Beijing100083 China Shandong Tianrui Heavy Industry Co. Ltd Weifang261061 China Center of Materials Science and Engineering School of Mechanical and Electronic Control Engineering Beijing Jiaotong University Beijing100044 China

As a member of low-carbon alloy steels, 20CrMnTi has been widely used to manufacture key-parts, such as gears and shafts, owing to its attractive fatigue resistance and easy of processing. To improve its the mechanical and frictional properties, the preparation of composite is required. In the present study, graphene was added in 20CrMnTi to form Gr/20CrMnTi composites by vacuum high-energy ball milling process and hot-pressing technique. The addition of graphene has a profound influence on the microstructure and properties of 20CrMnTi. A high hardness of 5.83 GPa and a good tensile strength of 1183 MPa were obtained in the 0.5 wt.%-Gr/20CrMnTi, increased by 18.5% and 27.8%, respectively. Meanwhile, the wear resistance reaches a maximum value of 2276.5 cm-3 in the 0.7 wt.%-Gr/20CrMnTi, showing a 491.1% increase than that of pure 20CrMnTi. The layered graphene played an important role in absorbing energy and preventing the propagation of micro-crack. © Published under licence by IOP Publishing Ltd.

关键词： Graphene

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Robust optimization for quantum reinforcement learning control using partial observations

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Physical Review A 2022年第6期105卷 062443-062443页

作者： Chen Jiang Yu Pan Zheng-Guang Wu Qing Gao Daoyi Dong State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University Hangzhou 310027 China The School of Automation Science and Electrical Engineering and Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China The School of Engineering and Information Technology University of New South Wales Canberra Australian Capital Territory 2600 Australia

The current quantum reinforcement learning control models often assume that the quantum states are known a priori for control optimization. However, full observation of the quantum state is experimentally infeasible due to the exponential scaling of the number of required quantum measurements on the number of qubits. In this paper, we investigate a robust reinforcement learning method using partial observations to overcome this difficulty. This control scheme is compatible with near-term quantum devices, where the noise is prevalent and predetermining the dynamics of the quantum state is practically impossible. We show that this simplified control scheme can achieve similar or even better performance when compared to the conventional methods relying on full observation. We demonstrate the effectiveness of this scheme on examples of quantum state control and the quantum approximate optimization algorithm (QAOA). It has been shown that high-fidelity state control can be achieved even if the noise amplitude is at the same level as the control amplitude. Besides, an acceptable level of optimization accuracy can be achieved for a QAOA with a noisy control Hamiltonian. This robust control optimization model can be trained to compensate for the uncertainties in practical quantum computing.

关键词： Machine learning Quantum control Quantum engineering

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Skin-like cryogel electronics from suppressed-freezing tuned polymer amorphization

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Nature Communications 2023年第1期14卷 1-10页

作者： Zhang, Xiansheng Yan, Hongwei Xu, Chongzhi Dong, Xia Wang, Yu Fu, Aiping Li, Hao Lee, Jin Yong Zhang, Sheng Ni, Jiahua Gao, Min Wang, Jing Yu, Jinpeng Ge, Shuzhi Sam Jin, Ming Liang Wang, Lili Xia, Yanzhi State Key Laboratory of Bio-Fibers and Eco-Textiles College of Textiles and Clothing Qingdao University Qingdao 266071 China Institute for Future Shandong Key Laboratory of Industrial Control Technology School of Automation Qingdao University Qingdao 266071 China College of Materials Science and Engineering Qingdao University Qingdao 266071 China CAS Key Laboratory of Engineering Plastics Institute of Chemistry Chinese Academy of Sciences Beijing 100190 China Department of Chemistry SungKyunKwan University Suwon 16419 South Korea State Key Laboratory of Fluid Power and Mechatronic Systems College of Mechanical Engineering Zhejiang University Hangzhou 310027 China College of Biological Science and Medical Engineering Donghua University Shanghai 201620 China Institute of Environmental Engineering ETH Zürich Zürich 8093 Switzerland Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

The sole situation of semi-crystalline structure induced single performance remarkably limits the green cryogels in the application of soft devices due to uncontrolled freezing field. Here, a facile strategy for achieving multifunctionality of cryogels is proposed using total amorphization of polymer. Through precisely lowering the freezing point of precursor solutions with an antifreezing salt, the suppressed growth of ice is achieved, creating an unusually weak and homogenous aggregation of polymer chains upon freezing, thereby realizing the tunable amorphization of polymer and the coexistence of free and hydrogen bonding hydroxyl groups. Such multi-scale microstructures trigger the integrated properties of tissue-like ultrasoftness (Young’s modulus <10 kPa) yet stretchability, high transparency (~92%), self-adhesion, and instantaneous self-healing (<0.3 s) for cryogels, along with superior ionic-conductivity, antifreezing (−58 °C) and water-retention abilities, pushing the development of skin-like cryogel electronics. These concepts open an attractive branch for cryogels that adopt regulated crystallization behavior for on-demand functionalities. © 2023, Springer Nature Limited.

关键词： Gels and hydrogels Polymers

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Hydrogen Spillover Induced PtCo/CoOx Interfaces with Enhanced Catalytic Activity for CO Oxidation at Low Temperatures in Humid Conditions

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Small 2024年第22期20卷 2309181-2309181页

作者： Lin, Jiajin Zhao, Shuaiqi Yang, Jin Huang, Wei-Hsiang Chen, Chi-Liang Chen, Tingyu Zhao, Yun Chen, Guangxu Qiu, Yongcai Gu, Lin School of Environment and Energy State Key Laboratory of Luminescent Materials and Devices Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control South China University of Technology Guangzhou510000 China School of Chemistry and Chemical Engineering Wuhan Textile University Wuhan430200 China National Synchrotron Radiation Research Center Hsinchu30076 Taiwan Hsinchu30076 Taiwan Key Laboratory for Renewable Energy Beijing Key Laboratory for New Energy Materials and Devices Laboratory of Advanced Materials and Electron Microscopy Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China

The development of catalysts with abundant active interfaces for superior low-temperature catalytic CO oxidation is critical to meet increasingly rigorous emission requirements, yet still challenging. Herein, this work reports a PtCo/CoOx/Al2O3 catalyst with PtCo clusters and enriched Pt─O─Co interfaces induced by hydrogen spillover from the Pt sites and self-oxidation process in air, exhibiting excellent performance for CO oxidation at low temperatures and humid conditions. The combination of structural characterizations and in situ Fourier transform infrared spectroscopy reveals that the PtCo cluster effectively prevents CO saturation/poisoning on the Pt surface. Additionally, the presence of Pt─O─Co interfaces in the PtCo/CoOx/Al2O3 catalyst provides a significant number of active sites for oxygen activation and ─OH formation. This facilitates efficient generation of CO2 at ambient temperature by coupling with nearby adsorbed CO molecules, resulting in superior low-temperature activity and long-term stability for CO oxidation under humid conditions. This work provides a facile route toward rationalizing the design of catalysts with more active interfaces for superior low-temperature CO oxidation under humid conditions for practical applications. © 2023 Wiley-VCH GmbH.

关键词： Binary alloys

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State-of-the-art on theories and applications of cable-driven parallel robots

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Frontiers of Mechanical Engineering 2022年第3期17卷 35-57页

作者： Zhaokun ZHANG Zhufeng SHAO Zheng YOU Xiaoqiang TANG Bin ZI Guilin YANG Clément GOSSELIN Stéphane CARO State Key Laboratory of Tribology Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment and Control Tsinghua UniversityBeijing 100084China Department of Mechanical Engineering University of MichiganAnn ArborMI 48109USA Department of Precision Instrument Tsinghua UniversityBeijing 100084China School of Mechanical Engineering Hefei University of TechnologyHefei 230009China Ningbo Institute of Industrial Technology Chinese Academy of Sciences(CAS)Ningbo 315201China Department of Mechanical Engineering UniversitéLavalQuebec QC G1V 0A6Canada Laboratory of Digital Sciences of Nantes National Centre for Scientific ResearchNantes 44321France

Cable-driven parallel robot(CDPR)is a type of high-performance robot that integrates cable-driven kinematic chains and parallel mechanism *** inherits the high dynamics and heavy load capacities of the parallel mechanism and significantly improves the workspace,cost and energy efficiency *** a result,CDPRs have had irreplaceable roles in industrial and technological fields,such as astronomy,aerospace,logistics,simulators,and *** follow the cutting-edge trend of rigid-flexible fusion,reflect advanced lightweight design concepts,and have become a frontier topic in robotics *** paper summarizes the kernel theories and developments of CDPRs,covering configuration design,cable-force distribution,workspace and stiffness,performance evaluation,optimization,and motion *** modeling,workspace analysis,and cable-force solution are *** and dynamic modeling methods are *** further promote the development,researchers should strengthen the investigation in configuration innovation,rapid calculation of workspace,performance evaluation,stiffness control,and rigid-flexible coupling *** addition,engineering problems such as cable materials,reliability design,and a unified control framework require attention.

关键词： cable-driven parallel robot kinematics optimization dynamics control

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A Binary Dumbbell Visible Light Driven Photocatalyst for Simultaneous Hydrogen Production with the Selective Oxidation of Benzyl Alcohol to Benzaldehyde

SSRN

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SSRN 2024年

作者： Tayyab, Muhammad Mansoor, Seemal Akmal, Zeeshan Khan, Mazhar Zhou, Liang Lei, Juying Zhang, Jinlong Key Laboratory for Advanced Materials Shanghai Engineering Research Center for Multimedia Environmental Catalysis and Resource Utilization Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research Center School of Chemistry and Molecular Engineering East China University of Science and Technology Shanghai200237 China Institute of Materials Research Tsinghua Shenzhen International Graduate School Tsinghua University Guangdong Shenzhen518055 China National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology Shanghai200237 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin150090 China

Photocatalytic H2 production with selective oxidation of organic moieties in an aqueous medium is a fascinating research area. However, the rational design of photocatalysts and their photocatalytic performance are still inadequate. In this work, we efficiently synthesized the MoS2 tipped CdS nanowires (NWs) photocatalyst using soft templates via the two-step hydrothermal method for efficient H2 production with selective oxidation of benzyl alcohol (BO) under visible light illumination. The optimized MoS2 tipped CdS NWs (20% MoS2) photocatalyst exhibits the highest photocatalytic H2 production efficiency of 13.55 mmol g-1 h-1 with 99% selective oxidation of BO, which was 42.34 and 2.21 times greater photocatalytic performance than that of pristine CdS NWs and MoS2/CdS NWs, respectively. The directional loading of MoS2 at the tips of CdS NWs (as compared to nondirectional MoS2 at CdS NWs) is the key factor towards superior H2 production with 99% selective oxidation of BO and has an inhibitory effect on the photo corrosion of pristine CdS NWs. Therefore, the amazing enhancement in the photocatalytic performance and selectivity of optimized MoS2 tipped CdS NWs (20% MoS2) photocatalyst is due to the spatial separation of their photoexcited charge carriers through the Schottky junction. Moreover, the unique structure of MoS2 flower at the tip of 1D CdS NWs offers separate active sites for adsorption and surface reactions such as H2 production at the MoS2 flower (confirmed by Pt photo deposition) and subsequently the selective oxidation of BO at the stem of CdS NWs. This rational design of a photocatalyst could be an inspiring work for the further development of efficient photocatalytic system for H2 production with selective oxidation of BO (a strategy of mash two potatoes with one fork). © 2024, The Authors. All rights reserved.

关键词： Precious metals

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Condition Monitoring and Fault Diagnosis of Coal Mill Based on Mechanism Modeling Simulation and D-S Evidence Fusion

Condition Monitoring and Fault Diagnosis of Coal Mill Based ...

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第34届中国控制与决策会议

作者： Tian Qiu Yuchen Yang Yue Guo Xiaofeng Chen Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University School of Control and Computer Engineering North China Electric Power University North China Electric Power Research Institute Co. Ltd

The coal mill is the key equipment of powdering system in coal-fired power plants,whose working state has an important influence on the combustion stability of boiler as well as the operation ***,owing to the lack of real fault data,it is difficult and not available enough to support and achieve the research of data-driven fault diagnosis ***-type medium-speed coal mill was selected as the research object in this ***,the existing mechanism model had been further improved to make it more effective and reasonable,and we used it to respectively simulate the typical operating data of the normal condition and three fault *** paper transformed the problem of fault diagnosis into the measurement of similarity between the testing and the typical fault samples,taking the numerical distance and changing trends into account,and adopted the concept of similarity function and transformed the results into the expression and calculation of probability level,which was calculated as the diagnostic evidence of individual parameters under the same time scale.D-S evidence theory was employed to fuse the individual evidence between multiple parameters evidence,getting the fusion of multiparametric evidence as to the final diagnosis ***,the experiments verified the high accuracy of the proposed diagnostic method,and the similarity function has high rationality and feasibility.

关键词： Coal Mill System process Fault Dynamic Mathematical Model Similarity Function D-S Evidence Fusion Theory Fault Diagnosis

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Resource-Efficient Cooperative Online Scalar Field Mapping via Distributed Sparse Gaussian process Regression

arXiv

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arXiv 2023年

作者： Ding, Tianyi Zheng, Ronghao Zhang, Senlin Liu, Meiqin The College of Electrical Engineering Zhejiang University Hangzhou310027 China The Jinhua Institute of Zhejiang University Jinhua321036 China The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Xi'an Jiaotong University Xi’an710049 China The National Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China

Cooperative online scalar field mapping is an important task for multi-robot systems. Gaussian process regression is widely used to construct a map that represents spatial information with confidence intervals. However, it is difficult to handle cooperative online mapping tasks because of its high computation and communication costs. This letter proposes a resource-efficient cooperative online field mapping method via distributed sparse Gaussian process regression. A novel distributed online Gaussian process evaluation method is developed such that robots can cooperatively evaluate and find observations of sufficient global utility to reduce computation. The error bounds of distributed aggregation results are guaranteed theoretically, and the performances of the proposed algorithms are validated by real online light field mapping experiments. Copyright © 2023, The Authors. All rights reserved.

关键词： Multipurpose robots

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