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arXiv 2024年

作者： Domyshev, Alexander Chistyakova, Elena Dreglea, Aliona Sidorov, Denis Liu, Fang Melentiev Energy Systems Institute Siberian Branch Russian Academy Sciences Irkutsk Russia Harbin Institute of Technology Harbin China Irkutsk National Research Technical University Irkutsk Russia Institute for System Dynamics and Control Theory Siberian Branch Russian Academy Sciences Irkutsk Russia Department of Automation Central South University Changsha China

The method for controlling a DC-DC converter is proposed to ensures the high quality control at large fluctuations in load currents by using differential gain control coefficients and second derivative control. Various implementations of balancing the currents of a multiphase DC-DC converter are discussed, with a focus on achieving accurate current regulation without introducing additional delay in the control system. Stochastic particle swarm optimization method is used to find optimal values of the PID controller parameters. An automatic constraint-handling in optimization are also discussed as relevant techniques in the *** Codes 34H05 34A09 © 2024, CC BY.

关键词： Stochastic systems

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Quantifying the contribution of activity patterns to PM_(2.5)exposure inequity between urban and rural residents by a novel method

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Building Simulation 2024年第8期17卷 1323-1333页

作者： Wei Du Zhanpeng Cui Jinze Wang Yuqiong Wang Yungui Li Xiaoan Li Yan Zhou Tao Jiang Kang Mao Xianbiao Lin Jianwu Shi Dengzhou Gao Yiming Qin Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control Faculty of Environmental Science&EngineeringKunming University of Science&TechnologyKunming 650500China Laboratory of Earth Surface Processes College of Urban and Environmental SciencesPeking UniversityBeijing 100871China Department of Environmental Engineering Southwest University of Science and TechnologyMianyang 621010China NHC Key Laboratory of Nuclear Technology Medical Transformation Mianyang Central HospitalSchool of MedicineUniversity of Electronic Science and Technology of ChinaMianyang 621000China State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China Key Laboratory of Marine Chemistry Theory and Technology Ministry of EducationOcean University of ChinaQingdao266100China Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education School of Geographical SciencesFujian NormalUniversityFuzhou350117China School of Energy and Environment City University of Hong KongHong KongChina

PM_(2.5)pollution variations in different microenvironments would result in PM_(2.5)exposure inequity between rural and urban *** this study,the real-time PM_(2.5)exposure of urban and rural residents in China was examined based on portable PM_(2.5)sensors together with activity patterns derived from questionnaire surveys,with a focus on students and senior citizens who are sensitive to air *** results showed that PM_(2.5)exposure varied significantly among different resident groups,with higher PM_(2.5)exposure of rural residents than those of urban ***_(2.5)exposure peaks mostly occurred during(Accompanied)cooking activities owing to strong *** and resting were the main activities that affected PM_(2.5)exposures of different resident groups,accounting for 60.7%-94.5%of total daily ***,the long duration of sleeping makes it the predominant activity contributing to PM 25 exposure *** is necessary to obtain point-to-point respiratory volume(respiratory rate)data when measuring real-time PM_(2.5)exposure data and incorporate respiratory volume(respiratory rate)into the analysis of PM_(2.5)*** the first time,this study quantified the PM_(2.5)exposure inequality based on a novel method and can provide useful information for further studies on the exposure inequity.

关键词： PM_(2.5)exposure environmental inequity activity pattern urban and rural difference

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A Real-time 3D Shape Sensing Algorithm Based on Self-Organizing Map

A Real-time 3D Shape Sensing Algorithm Based on Self-Organiz...

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第34届中国控制与决策会议

作者： Baoping Cheng Weidi Han Qinghang Wu Liangliang Chu Yueyong Lv China Mobile (Hangzhou) Information Technology Co. Ltd. Department of Control Science and Engineering Harbin Institute of Technology

Due to the complex motion structure,it is often difficult to achieve precise control of the soft *** important part of this is the real-time feedback of the shape of the *** this paper,a real-time 3D shape sensing algorithm based on stereo vision and Self-Organizing Map(SOM) network without marking points is *** algorithm extracts the edge data of the target for each frame,and uses SOM to cluster the key points at the center line,and then reconstructs the key points in three dimensions to obtain the shape and position information of the *** is carried out to verify the effectiveness of the algorithm and errors are analyzed.

关键词： Self-Organizing Map Real-time Sensing Shape Reconstruction Stereo Vision Soft Manipulator

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Reliable remaining useful life prediction for Lithium-ion battery driven by state-of-charge estimation and data processing techniques

Reliable remaining useful life prediction for Lithium-ion ba...

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第32届中国过程控制会议(CPCC2021)

作者： Zhiyu Yu Yuchen Jiang Hao Luo Shen Yin Department of Control Science and Engineering Harbin Institute of Technology

Batteries will age after being used for some *** the charge is insufficient,the electrical systems they power will stop functioning or even run out of *** have good knowledge about the real-time status of the batteries,many researchers study the long short term memory(LSTM) model to estimate the remaining useful life(RUL) of the batteries,and they usually focus on the prediction results of a single ***,they did not care about the model performance in repeated *** repeated experiments,each experiment is a simulation of the life cycle of a *** perform long-term reliable estimation,this paper proposes effective data preprocessing techniques to obtain feature data,which are used to drive the baseline LSTM ***,empirical mode decomposition(EMD) and selective data expansion are adopted to achieve an accurate evaluation of the state of health(SoH).Then,a filter is designed to reduce the fluctuation caused by the variation of model parameters in each experiment,after which the RUL of the battery is inferred from *** evaluation index is proposed for the performance of the model in repeated *** study and ablation experiments verify the effectiveness and superiority of the proposed scheme.

关键词： Lithium-ion battery filter long short-term memory state of health remaining useful life

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Review of Fault Diagnosis based Protection Mechanisms for Battery Energy Storage Systems

Review of Fault Diagnosis based Protection Mechanisms for Ba...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Solomon N. Adasah Ziqi Wang Shaoli Hu Skieler Capezza Junya Shao Mo-Yuen Chow UMSJTU Joint Institute Shanghai Jiaotong University Shanghai P. R. China College of Control Science and Engineering Shandong University China Department of Electrical Engineering North Carolina State University USA School of Automotive Engineering Harbin Institute of Technology China

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

Secondary battery protection has become a major area of research, especially as more commercial products and large-scale energy management systems come to rely on rechargeable batteries such as the lithium-ion battery. This concern for protection not only arises from the desire for convenience to have continually working systems, but also from the severity of the consequences of batteries failures. Some results of lithium-ion battery failures can include, combustion or explosion of the faulty battery cell, combustion or explosion of nearby battery cells, and electrical damage of connected circuit components among others. Research in the field of fault protection schemes for batteries focuses on minimizing damage to the system when a fault is expected to occur and the detection and diagnosis of what types of faults could be present within a battery cell or higher-order group of battery cells. This paper focuses on reviewing the literature of fault protection schemes for lithium-ion batteries based on the detection and diagnosis of well known battery failures.

关键词： Fault diagnosis Lithium-ion batteries Battery energy storage system Reviews Computational modeling Fault protection Mathematical models

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Dynamic Responses and Cumulative Damage of Coastal Bridges Subjected to Extreme Sequential Earthquake-Tsunamis

SSRN

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SSRN 2024年

作者： Zhu, Deming Dong, You Feng, Ruiwei Li, Yaohan Zhai, Changhai Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong Research Institute for Sustainable Urban Development The Hong Kong Polytechnic University Hong Kong Department of Construction and Quality Management Hong Kong Metropolitan University Hong Kong Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disaster The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

Coastal bridges, as vital components of transportation networks, are vulnerable to damage from successive earthquake-tsunami (EQ-TS) events in rapidly developing coastal hazard-prone cities. Understanding how these bridges perform under the combined effects of earthquakes and tsunamis is crucial. Though studies have investigated coastal buildings facing these hazards, there is limited research on bridges experiencing extreme EQ-TS events, especially on the generation of load sequences, dynamic structural responses, and cumulative damage assessment. To overcome these limitations, this study aims to thoroughly examine the dynamic behavior of reinforced concrete coastal bridges subjected to successive EQ-TS hazards. To generate practical sequential EQ-TS loads, records of the 2011 Tohoku earthquake and resulting tsunami heights, which are calculated based on the earthquake magnitude and epicentral distance, are utilized for analyses. The tsunami wave load time series for each earthquake record is created using a high-fidelity computational fluid dynamics model. Nonlinear time-history analyses are then performed for the bridge model in OpenSees under the synthetic EQ-TS sequences, quantifying structural responses and cumulative damage. Moreover, the comparative results of structural performance under single and successive hazard scenarios are presented and discussed. Results indicate that successive EQ-TS hazards not only induce much larger structural responses as compared to a single EQ hazard, but also produce considerable residual displacements for both bearings and decks. The wave height is more appropriate than the peak ground acceleration as an individual intensity measure for predicting the cumulative damage of bridges under cascading EQ-TS hazards. Relying solely on peak responses for assessing the dynamic performance of piers under successive EQ-TS sequences may underestimate the actual damage. © 2024, The Authors. All rights reserved.

关键词： Earthquakes

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SAGPCN: Self-Attention Graph Pooling Convolutional Network for Battery State of Health Estimation

SAGPCN: Self-Attention Graph Pooling Convolutional Network f...

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IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)

作者： Jiusi Zhang Jilun Tian Yuchen Jiang Hao Luo Cong-Sheng Huang Mo-Yuen Chow Shen Yin Department of Control Science and Engineering Harbin Institute of Technology Harbin China Department of Electrical Engineering National Taipei University of Technology Taipei Taiwan R.O.C. Department of Electrical and Computer Engineering North Carolina State University Raleigh NC U.S.A. Faculty of Engineering Norwegian University of Science and Technology Trondheim Norway

Lithium-ion batteries are widely applied in sustainable energy conversion system. Consequently, it is of great research significance to accurately estimate the state of health (SOH) of batteries. To effectively model the input features at the spatial level, this article proposes a self-attention graph pooling convolutional network (SAGPCN) to estimate the SOH. The advantages of SAGPCN proposed in this paper can be reflected as follows: (1) The SAGPCN can consider node characteristics and graph topology, which focuses the attention on key parts of the graph. (2) The SAGPCN designs a self-attention mechanism to reserve significant nodes and delete secondary nodes, so as to optimize the network structure. A real-world dataset is adopted to evaluate the proposed battery SOH estimation approach in this paper. Experimental results represent that the estimation performance of the proposed SAGPCN is better than some data-driven SOH prediction approaches.

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A Practical Contouring control Strategy Based on Accelerated Iterative Contouring Error Estimation

A Practical Contouring Control Strategy Based on Accelerated...

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Chinese Automation Congress (CAC)

作者： Zhixiang Wang Zhitai Liu Zhongjin Zhang Xuebo Yang Weiyang Lin Joint Planning Department CASIC Research Institute of Intelligent Decision Engineering Wuhan China Research Institute of Intelligent Control Systems Harbin Institute of Technology Harbin China

Aiming at the problem of improving the contouring control performance of the multi-axis system when performing periodic extreme contouring machining tasks such as high-speed and large-curvature contour, this paper proposes a contouring control strategy based on accelerated Newton iterative contouring error estimation algorithm (AccNewton-ILC-NTSMC). Firstly, a non-singular terminal sliding mode controller (NTSMC) is designed as a single-axis feedback controller to reduce the contouring error as much as possible. Then, an accelerated Newton iterative (AccNewton) algorithm with fourth-order convergence rate is designed to estimate the contouring error of the multi-axis system, and its convergence is proved theoretically, which is faster than the general iterative search method. Finally, an iterative learning controller (ILC) based on the estimated contouring error is designed as a contouring controller to achieve high-precision contouring control, and its stability is proved theoretically, which is more easier to implement than the conventional contouring control strategy. In this paper, comparative experiments are designed and carried out on a dual-axis linear motor platform to verify the proposed contouring control strategy. The experimental results illustrate that the proposed contouring strategy greatly improves the performance of contouring control compared with traditional strategy, especially when performing extreme machining curves. Moreover, the proposed AccNewton algorithm is faster, which makes the Accnewton-ILC-NTSMC strategy more suitable for multi-axis systems with high control frequency.

关键词： Error analysis Search methods Machining control systems Iterative algorithms Task analysis Adaptive control

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Reinforcement Learning Based control for Uncertain Robotic Manipulator Trajectory Tracking

Reinforcement Learning Based Control for Uncertain Robotic M...

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Chinese Automation Congress (CAC)

作者： Aohua Liu Bo Zhang Weiliang Chen Yiang Luo Shuxian Fang Ouyang Zhang Zhuang Liu Zhenhuan Wang Jianxing Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin P. R. China The Suihua Power Supply Company State Grid Heilongjiang Electric Power Company Limited Suihua China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China

This paper investigates the trajectory tracking control method for a robotic manipulator with uncertainties. A compound controller combining a traditional control law with deep reinforcement learning is developed to improve tracking accuracy and adaptability. The model-based control method is able to increase sampling efficiency for learning control strategy. The introduction of deep reinforcement learning based on soft actor-critic structure and Lyapunov function constrain enables the system to compensate unknown uncertainties and remain stable. Eventually, a 3-DOF manipulator is used to show the effectiveness of the proposed controller. Comparative simulation results demonstrate that the compound controller acquires higher tracking accuracy than the pure model-based control method.

关键词： Deep learning Uncertainty Trajectory tracking Simulation Reinforcement learning Manipulators Stability analysis

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A Real-time 3D Shape Sensing Algorithm Based on Self-Organizing Map

A Real-time 3D Shape Sensing Algorithm Based on Self-Organiz...

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Chinese control and Decision Conference, CCDC

作者： Baoping Cheng Weidi Han Qinghang Wu Liangliang Chu Yueyong Lv China Mobile (Hangzhou) Information Technology Co. Ltd. Hangzhou China Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9781665478977

Due to the complex motion structure, it is often difficult to achieve precise control of the soft manipulator. An important part of this is the real-time feedback of the shape of the target. In this paper, a real-time 3D shape sensing algorithm based on stereo vision and Self-Organizing Map (SOM) network without marking points is proposed. The algorithm extracts the edge data of the target for each frame, and uses SOM to cluster the key points at the center line, and then reconstructs the key points in three dimensions to obtain the shape and position information of the target. Experiments is carried out to verify the effectiveness of the algorithm and errors are analyzed.

关键词： Self-organizing feature maps Training Three-dimensional displays Shape Clustering algorithms Manipulators Real-time systems

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