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21st International Conference on Networking, Sensing and control, ICNSC 2024

作者： Li, Bosi Liu, Hongjie Lang, Yinghui Jia, Qingdong Zhang, Kun Li, Kaixuan School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing100044 China Traffic Control Technology Co. Ltd. Beijing100070 China

ISBN: (纸本)9798350365221

Virtual coupling (VC) is an emerging technology that enhances railway operations by dynamically and accurately matching line capacity with passenger demand. However, challenges arise in coordinating the virtually coupled train set (VCTS) during inter-station operations and maintaining accurate control of the VCTS. To address this issue, we propose a multi-phase trajectory planning control approach to generate the reference trajectories for VCTS to enhance the synchronicity of interstation operations. However, during speed-varying inter-station operations, it remains challenging to control VCTS accurately under disturbances while adhering to safety constraints. The control layer employs a model predictive control (MPC) approach to ensure precise reference tracking, based on the optimized reference trajectories for all train units. The effectiveness of this approach is validated through experimental results. © 2024 IEEE.

关键词： Predictive control systems

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A novel decision-making algorithm for beyond visual range air combat based on deep reinforcement learning 37

A novel decision-making algorithm for beyond visual range ai...

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37th Youth Academic Annual Conference of Chinese Association of automation, YAC 2022

作者： Jiang, Yang Yu, Jianglong Li, Qingdong Science and Technology on Aircraft Control Laboratory Beihang University School of Automation Science and Electrical Engineering Beijing China

ISBN: (纸本)9781665465366

In this paper, a novel decision-making algorithm based on deep reinforcement learning(DRL) is proposed for the decision-making problem in beyond visual range(BVR) air combat. Firstly, the relative kinematics model of 1 vs 1 air combat is established, and the state space and action space of the fighter are designed. Then, a new reward function is designed according to the situation of the BVR air combat, which is suitable for a wider range of BVR confrontation scenarios, and the construction of a decision-making method based on DRL is completed. Finally, several sets of experimental data are given to verify the effectiveness of the algorithm. © 2022 IEEE.

关键词： Reinforcement learning

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Evaluation and Optimization Schemes of Eddy Current Loss on Structural Components for High Voltage Converter Transformer 4th

Evaluation and Optimization Schemes of Eddy Current Loss on ...

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4th International Symposium on Insulation and Discharge Computation for Power Equipment, IDCOMPU 2023

作者： Shen, Min Guo, Penghong Wang, Yanling Sun, Youliang Yu, Xiangdong School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan250200 China Shandong Power Equipment Co. Ltd. Jinan250022 China School of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China

ISBN: (纸本)9789819974122

Compared with the traditional alternating current (AC) transmission system, High-voltage direct current (HVDC) transmission technology plays an essential role in the long distance, large capacity, and regional power grid interconnection, for its characteristics of higher economy, reliability, and stability. As the key power equipment in the HVDC transmission system, the converter trans-former cooperates with the converter valve to achieve AC and DC conversion. Due to the large capacity, high impedance, harmonics, DC bias, and other working conditions for the converter transformer, the eddy current loss of the structural components induced by leakage magnetic flux, will be increased significantly and result in the efficiency reduction and local overheating problem, endangering the operational reliability of itself and the power system. In a flexible HVDC transmission system, regarding the convert-er transformer as the research object, the optimal composite shielding scheme is proposed and determined by the optimization design and finite element analysis (FEA) calculation, which are based on the values and distribution of leakage flux and loss density. Furthermore, the experimental results verify the proposed overall leakage magnetic flux control scheme. © Beijing Paike Culture Commu. Co., Ltd 2024.

关键词： HVDC power transmission

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Special solution planning programmed hybrid dpwm algorithm for three-level inverter based on v-s balance principle

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2021年第2期83卷 157-170页

作者： Liu, Yi Ping, Xiuyuan School of Electrical Engineering and Automation Henan Institute of Technology China Jiangsu Engineering Research Center for Electrical Driver and Control China

To simplify the control algorithm, balance the neutral point potential and reduce the switching loss, a novel hybrid DPWM algorithm is proposed with the advantages of carrier modulation and voltage space vector. The three-dimensional switching sequence is calculated by the voltage space vector method. Then, a general special solution planning programmed DPWM based on voltage-second balance principle is proposed to calculate the switching action time, which can overcome the complicated calculation of the traditional voltage space vector method and overcome the complicated problem of the traditional carrier modulation zero-sequence voltage calculation. In addition, a neutral potential hysteresis control method is proposed by controlling the zero-sequence voltage component to achieve the control of the midpoint current. Simulation and experiments show the effectiveness of the proposed algorithm. © 2021, Politechnica University of Bucharest. All rights reserved.

关键词： Vector spaces

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The Battery Management System With DNN Deployed in STM32

The Battery Management System With DNN Deployed in STM32

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2024 China automation Congress, CAC 2024

作者： Liang, Dongfeng Xiong, Ling Li, Wei Xiao, Ji School of Information Science and Engineering Wuhan University of Science and Technology Engineering Research Center for Metallurgical Automation and Measurement Technology Ministry of Education Wuhan China Wuhan University of Science and Technology Electronic Control Equipment Co. Ltd Wuhan China

ISBN: (纸本)9798350368604

Accurate prediction of the state of charge (SOC) is crucial for extending the lifespan of batteries. While traditional ampere-hour integration methods are simple and practical, they suffer from large cumulative errors and are not well-suited for complex application scenarios. This paper presents a smart battery management system based on the STM32F407VET6 microcontroller, which incorporates a deep neural network (DNN) to effectively model the nonlinear relationship between key parameters such as current, voltage, and SOC. The system features autonomous operation without requiring a host computer, enabling precise measurement of remaining battery capacity and real-time data display on an OLED screen. Furthermore, it supports data transmission in industrial environments via an RS485 module using the Modbus RTU protocol, as well as communication through CAN bus and ESP8266-MQTT for IoT applications. Experimental results demonstrate that this system can accurately predict battery SOC while facilitating multiplatform data communication. © 2024 IEEE.

关键词： State of charge

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Optimization for Pickup Vehicle Scheduling in Steel Logistics Park Based on Enhanced SPEA2

Optimization for Pickup Vehicle Scheduling in Steel Logistic...

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2023 China automation Congress, CAC 2023

作者： Xu, Hongjie Wang, Jinlong Xu, Zhezhuang Chen, Boyu Zhang, Qingdong College of Electrical Engineering and Automation Fuzhou University Key Laboratory of Industrial Automation Control Technology and Information Processing Education Department of Fujian Province Fuzhou350000 China Sansteel Minguang Co. Ltd. Sanming353000 China

ISBN: (纸本)9798350303759

Pickup vehicle scheduling in the steel logistics park is a critical issue in determining the outbound effciency of steel products. Steel products are distributed in the yards of the steel logistics park with mixed storage, and the optional yards for each pickup operation are not unique, which greatly increases the scheduling complexity. To overcome this challenge, in this paper, we propose a pickup vehicle scheduling problem with mixed steel storage (PVSP-MSS) to optimize makespan of pickup vehicle and makespan of steel logistics park simultaneously. The optimization problem is described as a multi-objective problem, and an enhanced Strength Pareto Evolutionary Algorithm 2 (ESPEA) is proposed to solve the problem with high efficiency. Experiments are executed based on data collected from a real steel logistics park. The results confirm that ESPEA can significantly reduce both makespan of each pickup vehicle and makespan of steel logistics park. © 2023 IEEE.

关键词： Pickups

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Digital-Twin-Based Clock Synchronization in Industrial IoT Systems 13

Digital-Twin-Based Clock Synchronization in Industrial IoT S...

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13th IEEE International Conference on CYBER Technology in automation, control, and Intelligent Systems, CYBER 2023

作者： Cheng, Ting Liu, Shuai Xu, Qimin Zhu, Shanying Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China School of Control Science and Engineering Shandong University Jinan250061 China

ISBN: (纸本)9798350315196

Close and efficient cooperation between devices in the Industrial Internet of Things (IIoT) requires precise clock synchronization as a prerequisite. The uncertainty of IIoT networks and the complexity of industrial environments have led to less precise clock synchronization achieved by traditional algorithms and higher network resource consumption. This paper proposes a digital-twin-based clock synchronization scheme for IIoT systems. By building the digital model for each local clock to predict their clock skew, the information interaction required to achieve synchronization is reduced. In order to model the clock accurately, this paper proposes to use the extended state Kalman filter to handle uncertain dynamics and unknown measurement bias to improve the estimation accuracy of clock skew further. The simulation results show that the proposed algorithm can achieve high- precision clock synchronization while reducing the consumption of network resources. © 2023 IEEE.

关键词： Internet of things

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State-of-Charge (SOC) Estimation of Lithium-Ion Battery Based on Unscented Kalman Filtering 6

State-of-Charge (SOC) Estimation of Lithium-Ion Battery Base...

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6th IEEE Advanced Information Management, Communicates, Electronic and automation control Conference, IMCEC 2024

作者： Miao, Mengfan Li, Ligang Wang, Zhongfeng Jiang, Jing Shenyang Ligong University College of Automation and Electrical Engineering Liaoning China Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China

ISBN: (纸本)9798350316520

Real-time estimation of State of Charge (SOC) for lithium-ion batteries is one of the core technologies in Battery Management Systems (BMS). Accurate SOC estimation is fundamental for managing lithium-ion batteries. In this study, a second-order RC equivalent circuit model is established, and parameter identification methods are employed to determine the model parameters. The identified parameters are then incorporated back into the second-order RC model. The accuracy of these parameters and the model is validated through Hybrid Pulse Power Characteristic (HPPC) tests. Finally, the Unscented Kalman Filtering algorithm (UKF) is utilized to estimate battery SOC. Experimental results demonstrate that SOC estimation based on UKF exhibits high precision and stability. © 2024 IEEE.

关键词： Lithium-ion batteries

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controllability of neighborhood Corona product networks

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Science China(Information Sciences) 2024年第12期67卷 327-328页

作者： Bo LIU Xuan LI Qiang ZHANG Junjie HUANG Housheng SU Ministry of Education Key Laboratory for Intelligent Analysis and Security Governance of Ethnic Languages School of Information Engineering Minzu University of China School of Mathematical Sciences Inner Mongolia University Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology

controlling networks aims to study the models, structures,and related dynamics of complex networks. The primary problem of controlling networks is to determine whether they are controllable. Nowadays, controllability has been widely studied and applied to system engineering and control theory, power systems, aerospace, and quantum systems. Various classical criteria include the Gram matrix criterion, Kalman rank criterion, and PBH test.

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Design and implementation of intelligent LiDAR SLAM for autonomous mobile robots using evolutionary normal distributions transform

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Soft Computing 2024年第6期28卷 5321-5337页

作者： Huang, Hsu-Chih Xu, Sendren Sheng-Dong Lin, Hsien-Chan Xiao, Yuan-Sheng Chen, Yu-Xiang Department of Electrical Engineering National Ilan University Yilan260007 Taiwan Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei106335 Taiwan Advanced Manufacturing Research Center National Taiwan University of Science and Technology Taipei106335 Taiwan

This paper presents a method that employs an evolutionary normal distributions transform (NDT) for simultaneous localization and mapping (SLAM) using light detection and ranging (LiDAR) for autonomous mobile robots. An adaptive inertia weight and two genetic operators were employed in the Taguchi-based whale optimization algorithm (WOA) to improve the search diversity and avoid local optima. NDT was used to model the environment of differential-drive mobile robots and WOA was applied to optimize the scan matching for the robotic SLAM problem. The NDT-WOA determines the SLAM pose estimation using sensed data from the physical world. A nonholonomic mobile robot was steered to achieve the NDT-WOA SLAM task with the derived robot kinematics and actuator dynamics. The proposed method was implemented in a TurtleBot3 Burger robotic development kit, which includes a single-board computer and an OpenCR control board. The Robot Operating System (ROS) was utilized to implement the evolutionary NDT-WOA SLAM system due to its flexibility, open source, and client library. Simulation and comparisons were conducted to illustrate the efficiency of the proposed NDT-WOA SLAM method compared to other SLAM paradigms. The experimental results show the effectiveness of the proposed evolutionary NDT-WOA SLAM for autonomous mobile robots. The results could have theoretical and practical significance for robotics research. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.

关键词： Mobile robots

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