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第41届中国控制会议

作者： Yongqi Chang Qiushi Hao Xin Hu Xin Zhang Yi Shen Department of Control Science and Engineering Harbin Institute of Technology IEEE

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at achieving the classification of rail fatigue crack signals in high-speed railway using Acoustic Emission(AE)technology,a novel method based on the deep learning theory is proposed in this *** proposed method combines self-normalizing convolutional neural networks with wide first-layer kernels(WSCNN) and gated recurrent unit(GRU) to construct an effective model named *** taking advantage of CNN and GRU,the local important information features in signals space and the temporal relevance are extracted from the AE ***'s more,the self-normalizing properties of the activation function SeLU is selected to maintain the stability and convergence of the fatigue crack classification WSCNN-GRU *** batch normalization(AdaBN) is utilized to improve the domain adaptation ability of the *** method is fully verified in rail fatigue experiments,and the results show that the proposed WSCNN-GRU method achieve outstanding classification ***,it provides an excellent way for rail fatigue crack to guarantee the high-speed railway safety.

关键词： Rail Fatigue Crack Classification Acoustic Emission WSCNN-GRU

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The impact of vacancy defective MgH_(2)(001)/(110)surface on the dehydrogenation of MgH_(2)@Ni-CNTs:A mechanistic investigation

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Journal of Materials science & technology 2024年第22期189卷 77-85页

作者： Congwen Duan Xinya Wang Haimei Wang Mengmeng Wu Yuchen Fan Jinhui Wu Ting Qu Bogu Liu Lianxi Hu Poqian Liang Fei Wang Ying Wu Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and EngineeringNorth China Electric Power UniversityBaoding 071003China Institute of Energy Power Innovation North China Electric Power UniversityNo.2 Beinong RoadChangping DistrictBeijing 102206China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China College of Materials Science and Engineering Sichuan UniversityChengdu 610065China

The vacancy defect exhibits a remarkable improvement in the dehydriding property of MgH_(2)@***,the corresponding mechanism is still not fully ***,the impact of vacancy defects on the dehydrogenation properties of MgH_(2)@Ni-CNTs was studied by DFT simulation,and the corresponding models were constructed based on *** dehydrogenation process of MgH_(2)can be regarded as the dissociation of Mg-H and desorption of H_(2)from the MgH_(2)*** view of the whole dehydrogenation,the dissociation of H^(−)is the rate-determining step,which is the main reason for restricting the dehydrogenation *** with vacancy vacancy-defective MgH_(2)(001)surface,the appearance of vacancy defects on the(110)surface substantially reduces the energy barrier required for H dissociation to 0.070 *** reason is that vacancy defects accelerate the transition of electrons from the H^(−)s orbit to the Mg^(2+)3s orbit,resulting in a decrement of the Mg-H bond strength,which makes H atoms more easily dissociated from the MgH_(2)(110)***,the existence of vacancy defects improves the dehydriding kinetic of MgH_(2).Most importantly,this research offers crucial directions for developing hydrogen storage materials as well as a potential fix for the slow dehydrogenation kinetics of nano-confined MgH_(2).

关键词： MgH_(2) Vacancy defect Hydrogen storage Hydrogen dissociation and desorption

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A Perception-Prediction System Design Using 3D Point Clouds 38

A Perception-Prediction System Design Using 3D Point Clouds

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38th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023

作者： Zhang, Wendong Lu, Qing Fu, Jinyu Zhang, Quanqi Wu, Chengwei Harbin Institute of Technology Department of Control Science and Engineering Harbin China Nanjing Forestry University College of Mechanical and Electronic Engineering Nanjing China

ISBN: (纸本)9798350303636

Robot safety depends in part on the ability to detect moving objects and predict their motions. Although various related algorithms have been proposed, both the real-time performance and robustness of perception and prediction still need to be improved. This paper designs a real-time and reliable perception-prediction system to perceive the obstacle and predict trajectories by using 3D point clouds. The perception-prediction system includes five modules, which preserve the low-computational characteristic. A compensation module is proposed to improve the tracking performance when an obstacle is perceived. Moreover, a stabilization module including spline interpolation, filtering, and Gaussian noise is provided to improve the prediction accuracy. Finally, experimental results are given to demonstrate the effectiveness and advantages of the proposed perception-prediction system. © 2023 IEEE.

关键词： 3D point clouds Deep learning Perceiving and prediction system

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Developing modified k–εturbulence models for neutral atmospheric boundary layer flow simulation using OpenFOAM

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Building Simulation 2024年第12期17卷 2281-2295页

作者： Yuanbo Wang Jiqin Li Wei Liu Jiankai Dong Jing Liu School of Architecture Harbin Institute of TechnologyKey Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and TechnologyMinistry of Industry and Information TechnologyHarbin 150090China Tianjin Key Laboratory of Indoor Air Environmental Quality Control School of Environmental Science and EngineeringTianjin University92 Weijin RoadTianjin 300072China Division of Sustainable Buildings Department of Civil and Architectural EngineeringKTH Royal Institute of TechnologyBrinellvägen 2310044 StockholmSweden

Accurate turbulence modeling is essential for simulation studies of urban *** this study,the comprehensive atmospheric boundary layer(ABL)model involving a variable model coefficient and an additional turbulent dissipation source term was implemented using the open-source software *** with consistent inlet wind profiles and rough wall functions of different turbulence variables based on the aerodynamic roughness,the model maintained the horizontal homogeneity ***,a hybrid approach was introduced to consider buildings immersed in ABL flows,enabling automatic transformation of the turbulence model between the region around the buildings and the free flow region away from any ***,the effects of applying different model forms to the airflow field around buildings were evaluated in detail through three-dimensional building cases representing six urban prototypes based on three wind tunnel *** findings indicated that all modified k–εmodels perform well in reproducing the flow data of the CEDVAL and Architectural inst.tute of Japan(AIJ)experiments consisting of a single building,an array of buildings,and an isolated high-rise ***,the modified k–εmodel with an additional correction term performed poorly in the database of Niigata inst.tute of technology and the case of complex terrain and urban building configurations,because the correction term inhibited the generation of turbulent kinetic *** addition,from the comparison between the experimental data of all cases,the model with the original formulation of the coefficient performed the best in terms of prediction *** root mean square errors of the normalized velocity were 0.1250,0.0879,0.1145,0.1350,and 0.1492 in different cases,which proved the reliability of this turbulence model.

关键词： urban airflow computational fluid dynamics(CFD) atmospheric boundary layer OpenFOAM turbulence model

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Super Resolution of Unpaired MR Images Based on Domain Migration 18th

Super Resolution of Unpaired MR Images Based on Domain Migra...

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18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2022

作者： Liu, Xiaodong Guo, Haipeng Liu, Huanyu Department of Automatic Test and Control School of Electronics and Information Engineering Harbin Institute of Technology Harbin150080 China Information Countermeasure Technique Institute School of Computer Science and Technology Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9789819901043

High-resolution magnetic resonance imaging (MRI) is very important for doctors to judge the condition. At present, the depth learning method has been widely studied in the super-resolution reconstruction of MR images. However, due to the distribution difference between the real low-resolution MR images and the down sampled MR images used to train the super-resolution model under experimental conditions, the super-resolution performance of the super-resolution method is often seriously degraded when super-resolution is applied to the real low-resolution MR images. Blind super-resolution methods used to solve such problems in natural image super-resolution are lack of image content constraints. It is not advisable to introduce additional information that will interfere with doctors’ diagnosis in the super-resolution process of MR images. These two problems hinder the application of super-resolution method in real MR images. In order to solve these problems, an unpaired MR image super-resolution network based on domain migration is proposed. The proposed DMN can use a real set of low to high-resolution unpaired MR images as input, migrate the real low-resolution MR images to the down sampled MR image domain, and then super-resolution reconstruction is carried out through the paired super-resolution network obtained through supervision training. Experiments on fast MRI datasets verify the effectiveness of this method in solving the super-resolution problem of real MR images. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Magnetic resonance imaging

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A Composite Battery Model Based on Actual Reaction Mechanisms of Lithium-Ion Batteries 42

A Composite Battery Model Based on Actual Reaction Mechanism...

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42nd Chinese control Conference, CCC 2023

作者： Liu, Yixin Zhai, Yiming Zhang, Di Qin, Pengliang Zhao, Linhui China Faw Group Corporation Changchun130012 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China

ISBN: (纸本)9789887581543

An accurate and applicable battery model is of great significance for the effective management of electric vehicle's battery management systems. Based on the actual reaction mechanism inside the battery, a composite battery model is proposed in this paper. The proposed composite battery model considers important reactions such as charge transfer at the solid-liquid interface, solid-liquid phase diffusion of Li+, and gives a new way of characterizing some reactions based on the electrochemical model. In addition, the extended Kalman filter-based online parameter identification method makes the proposed battery model well-adapted to dynamic environments. The experimental results show that proposed composite battery model has higher model accuracy than the conventional equivalent circuit model, and the established online parameter identification model can make the proposed composite battery model better adapt to the dynamic environment. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Battery management systems

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Intermittent control for Fixed-Time Synchronization of Coupled Networks

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IEEE/CAA Journal of Automatica Sinica 2023年第6期10卷 1488-1490页

作者： Yongbao Wu Ziyuan Sun Guangtao Ran Lei Xue the School of Automation Southeast UniversityNanjing 210096China the Department of Applied Mathematics University of WaterlooOntario N2J 4N3Canada the Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Dear Editor, This letter deals with fixed-time synchronization(Fd-TS) of complex networks(CNs) under aperiodically intermittent control(AIC)for the first time. The average control rate and a new Lyapunov function are ... 详细信息

关键词： synchronization Synchronization overcome

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Aging feature Extracting Strategy Considering Battery Usage Conditions and Optimized ELM-Based Accurate SOH Estimation 42

Aging feature Extracting Strategy Considering Battery Usage ...

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42nd Chinese control Conference, CCC 2023

作者： Huo, Yanhong Zhao, Linhui Qin, Pengliang Sun, Jia Tong, Licui China Faw Group Corporation Changchun130012 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China

ISBN: (纸本)9789887581543

Accurate State of Health (SOH) estimation is of great significance for battery maintenance and safe driving of electric vehicles. This paper first constructs effective aging features based on the characteristics of similar triangles formed by the charging voltage curve, and then designs an aging feature extracting strategy considering the battery's actual usage conditions. To establish an accurate SOH estimation model, particle swarm optimization algorithm is used to optimize the parameters of Extreme Learning Machine (ELM). The experimental results show that the constructed aging features are reasonable, and the established optimized ELM-based data-driven model has a high SOH estimation accuracy. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Particle swarm optimization (PSO)

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A data-driven distributed control method for performance optimization of interconnected industrial processes 4

A data-driven distributed control method for performance opt...

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4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Wang, Hao Luo, Hao Jiang, Yuchen Xu, Xiaoyi Li, Xiang Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

In this paper, distributed plug-and-play (PnP) optimization control method for interconnected industrial processes is studied. Due to the influence of information interaction between subsystems, the performance of each subsystems are affected by their neighbor subsystem. Decentralized control approaches face difficulty in achieving satisfactory performance where the impact of information interaction between subsystems. Centralized optimal control method can achieve good results, but it burden on communication and computing. Compared with centralized and decentralized controller, distributed approaches has less online computational load and more flexible implementation schemes in interconnected industrial processes. In this work, a residual-driven distributed PnP optimization control approach is further developed, in which local residuals and residuals from neighbor subsystems are used to drive PnP optimization controllers. The influence between adjacent subsystems is fully considered in this design method. Experimental results on a three tank benchmark system show the effectiveness of the proposed algorithm. © 2022 IEEE.

关键词： Decentralized control

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An Fault-tolerant control Approach for Event-triggered Consensus of Multiple Robotic Manipulators with Switching Topologies 48

An Fault-tolerant Control Approach for Event-triggered Conse...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Li, Yunji Luo, Hao Wang, Hao Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

A new fault-tolerant controller is designed in this paper, which ensures the event-triggered leader-following consensus of multiple robotic manipulators subject to switching topologies. A Markov distributed sequence with a known probability transition matrix is employed to describe the switching communication topologies of multiple robotic manipulators. The investigated actuator fault model contains both constant and time-varying faults. Also, the norm-bounded conditions are utilized to denote the manipulators nonlinearities and additive noises. Furthermore, a set of output-based control gains are explicitly characterized via ensuring mean-square stability on dynamics of consensus errors. Finally, simulation results illustrate the designed consensus protocol can compensate actuator failure effectively. © 2022 IEEE.

关键词： Additive noise

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