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3rd international conference on Electronics, Electrical and Information engineering, ICEEIE 2023

作者： Zhao, Jing Cheng, Dianzuo You, Yimin School of Electrical Engineering and Automation Xiamen University of Technology Xiamen361024 China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen361024 China

ISBN: (纸本)9781510671423

To ensure the operation stability of DC Molded Case Circuit Breakers(MCCB), by analyzing the structure of DC MCCB and taking the internal electric field of DC MCCB as the research object, a finite element software Ansys Workbench is used to build and analyze the temperature field simulation model of DC MCCB;According to its internal the distribution of internal temperature and air flow, it is concluded that some plastic parts can hinder the internal air flow and affect the heat dissipation of circuit breaker. The simulation results show that the temperature rise of plastic parts and the maximum temperature of contacts can be effectively reduced by shortening the connecting plate of the upper cover and punching the bracket of the moving contact, so that the internal temperature will not be too high, which enhances the operation reliability of DC MCCB. © 2023 SPIE.

关键词： Structural optimization

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robotics Arm controller with Fuel Cell-Based Stepper Motor Drive Using Double-Ended Forward Converter 3rd

Robotics Arm Controller with Fuel Cell-Based Stepper Motor D...

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3rd international conference on Emerging Trends in Expert Applications and Security, ICE-TEAS 2024

作者： Kanchana, K. Chintamani, B. Kavitha, S. Priya, R. Karpaga Sinthia, P. Malathi, M. Department of Electrical and Electronics Engineering Saveetha Engineering College Tamil Nadu Chennai India Department of Electrical and Electronics Engineering Rajalakshmi Institute of Technology Tamil Nadu Chennai India Department of Electrical and Electronics Engineering Easwari Engineering College Tamil Nadu Chennai India

ISBN: (纸本)9789819737444

robotics is a rapidly evolving technology essential in many industries and a significant pillar for all the following technologies. Selecting the best motor for the ideal robot is a problematic issue if one is developing a robot, especially for industry. Several criteria for arms control, location, and angular and linear movements must be considered when choosing electrical motors for industrial robots. Choosing the suitable motor is a crucial decision in the design of robots that requires careful consideration of factors such as the robot’s weight, wheel size, and intended use. Torque, acceleration, and speed must all be considered during the design stage. Industrial robots typically use a range of motor types for various functions. The proposed work uses a stepper motor for high-torque robotic applications and more precise angular movement. The double-ended forward converter is used to operate the stepper motor. For current regulation, loss minimization, and low-power applications, the suggested converter is strongly recommended. This converter increases functionality and has buck. The technology’s source is also mentioned: fuel cells. A mathematical model of a double-ended forward converter is presented in this paper. The suggested converter’s prototype model’s outcomes are compared and verified. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Stepping motors

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Iterative memory-driven load forecast network model for accuracy improvement

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ENERGY REPORTS 2023年 9卷 388-395页

作者： Yang, Bo Yuan, Xiaohui Tang, Fei Changsha Univ Coll Elect Informat & Elect Engn Changsha 410022 Peoples R China Huazhong Univ Sci & Technol Sch Civil & Hydraul Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Hubei Key Lab Digital River Basin Sci & Technol Wuhan 430074 Peoples R China Wuhan Univ Sch Elect Engn & Automat Wuhan 430072 Peoples R China

High penetration of renewable energy generation and intensive application of new-type load control measures in power system greatly increase the difficulty of load forecast (LF). Long-term dependencies in load series limit LF accuracy improvement of back propagation neural network (BPNN) and its combination variants. Inspired by coexisting features of long-term trend and non-trend fluctuation in load series, a novel iterative memory-driven load forecast network (IMDLFN) model is proposed to forecast system-level load in the scenario. It creatively adopts memory-driven units to convey long-term trend information learned from the previous time steps and to autonomously balance long-term memory and short-term memory, which effectively deals with long-term dependencies and perfectly circumvents weight selection problem of BPNN combination variants. LF for municipal power system in China demonstrates that the proposed model can remarkably improve LF accuracy especially for trend/non-trend coexisting load series. & COPY;2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Load forecast Load control Renewable energy generation Power systems

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Geometric control Methods for On-Orbit Assembly of Modular Spacecraft Cluster 3

Geometric Control Methods for On-Orbit Assembly of Modular S...

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3rd international conference on Mechatronics, control and robotics, ICMCR 2025

作者： Wang, Jingxian Chen, Rong Bai, Yuzhu Zhao, Yong College of Aerospace Science and Engineering National University of Defense Technology Changsha China

ISBN: (纸本)9798331544546

In this paper, a cluster geometry control method is proposed for the problem of on-orbit assembly of modular spacecraft clusters. The method bases the cluster system on a manifold. A collision avoidance constraint that does not generate terminal position mutual exclusion is designed for the characteristics of the assembly problem. Assembly and task time constraints are further considered to integrate the non-convex multiple constraints with the system metric matrix. Finally, model predictive control is used to realize tracking control. Simulation results show that the method can arrive at the target position to complete the on-orbit assembly within any initial position and different fixed time constraints and achieve the purpose of energy optimization. © 2025 IEEE.

关键词： Tracking (position)

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Distributed Cooperative Formation control for Multi-agent System based on Virtual Centre Strategy 3

Distributed Cooperative Formation Control for Multi-agent Sy...

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3rd international conference on Defence Technology, ICDT 2022

作者： He, Weizhen Cheng, Yuzhen Peng, Pei Yuan, Yuwen Li, Shixuan Northwest Institute of Mechanical and Electrical Engineering Shaanxi Xianyang712099 China

In this study, a distributed cooperative formation consistency control strategy is investigated for multi-agent system (MAS) to achieve formation consensus. Firstly, the virtual-centre-based reference formation is presented. Then a distributed cooperative formation control law based on virtual-centre is developed for MAS to achieve formation consensus. Finally, the new control scheme is applied to MAS consisting of 5 UAVs and the resulting closed-loop MAS is stable. The effectiveness of the new cooperative control behavior strategy is verified by simulations. © Published under licence by IOP Publishing Ltd.

关键词： Multi agent systems

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Intelligent Monitoring and control of IOT Technology in Greenhouse Farming 3

Intelligent Monitoring and Control of IOT Technology in Gree...

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3rd international conference on Green Communication, Network, and Internet of Things, CNIoT 2023

作者： Chen, Rumin Zhao, Xiaojing Zhao, Mi'ao Zhang, Hongbo Department of Information Engineering Tianjin College University of Science and Technology Tianjin Beijing China

ISBN: (纸本)9781510668867

Intelligent agriculture is the product of the combination of technology and traditional agriculture in the computer era, mainly using IOT (Internet of Things technology), artificial intelligence and computer technology to reform and innovate the traditional agricultural production and management methods, and realize the informationization and intelligence of agricultural production management. In this context, how to use technology to improve crop yield and management efficiency has become an urgent social issue. This paper mainly discusses the application of IOT technology in greenhouse planting from two aspects, which is also the innovation point of this paper. Through the intelligent detection of soil and soil-less environment in greenhouses, it plays an important role in ensuring the normal and healthy growth of crops and increasing production and income. © 2023 SPIE.

关键词： Artificial intelligence

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Vehicle Pedestrian Detection Method Based on Improved YOLOv5 Algorithm 3

Vehicle Pedestrian Detection Method Based on Improved YOLOv5...

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3rd international conference on Signal Image Processing and Communication, ICSIPC 2023

作者： Chen, Zhao-Hui Ling, Xiao-Ming National Engineering Research Center for Technology of Environmental Deposition Lanzhou Jiaotong University Lanzhou730000 China Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou730000 China

ISBN: (纸本)9781510670945

Vehicle pedestrian detection is a key aspect in driver assistance systems, which need to accurately detect all vehicle pedestrian targets on the roadway in order to ensure driving safety. To solve the problem of low accuracy in vehicle pedestrian target detection, this paper proposes a vehicle pedestrian detection method based on the improved YOLOv5 algorithm. In this paper, the initial anchor boxes of the dataset are re-clustered by the K-means clustering algorithm, and the CIOU loss function and DIOU_nms, are applied to the YOLOv5 algorithm to improve the target recognition effect and reduce the false and missed detection rate of small targets. The experimental results show that the mAP@0.5 of the improved YOLOv5 algorithm is improved by 1.85%. © 2023 SPIE.

关键词： Deep learning

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Refinement Generation Method of Renewable Energy Scenario Based on Information Maximizing Generative Adversarial Network 3

Refinement Generation Method of Renewable Energy Scenario Ba...

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3rd international conference on Energy, Power and Electrical engineering, EPEE 2023

作者： Zhao, Zhenyu Zhao, Chuan Li, Xiangyong Chen, Zongyuan Pan, Zhenning Liu, Shuangquan Yunnan Electric Power Dispatching and Control Center Yunnan Kunming650011 China College of Electric Power South China University of Technology Guangdong Guangzhou510610 China

ISBN: (纸本)9798350318180

In the process of power system planning and operation, it is urgent to generate accurate and reliable renewable energy scenarios. To this end, this paper proposes a renewable energy scene refinement generation method based on infoGAN for the renewable energy generation uncertainty modeling problem. First of all, the historical output data and historical meteorological data of each renewable energy station are collected. The characteristic indicators of the output of each renewable energy station and the corresponding meteorological data are obtained as latent codes. Then, the information maximizing generative adversarial network is trained based on historical data. Finally, a numerical example of a provincial power grid in Northwest China is used to test the superiority of the proposed method. The results show that compared with the traditional probabilistic model-based scenario generation method, this method does not need accurate probabilistic modeling and complex scene sampling and can generate a scene set that is more consistent with the real scene data distribution law according to different scene preferences. The process is interpretable. © 2023 IEEE.

关键词： information maximizing generative adversarial network refined generation renewable energy output renewable energy scenarios uncertainty

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RESEARCH PROGRESS AND PROSPECT OF THE HYPERSONIC FLIGHT VEHICLE FAULT-TOLERANT control METHODS 3

RESEARCH PROGRESS AND PROSPECT OF THE HYPERSONIC FLIGHT VEHI...

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3rd international conference on Mechanical, Aerospace and Automotive engineering, CMAAE 2023

作者： Fan, Xiaoshuai Qi, Xiaoman Zhang, Shifeng Jiang, Zhenyu College of Aerospace Science and Engineering National University of Defense Technology Changsha China Hunan Provincial Key Laboratory Of Aerospace Cross-Domain Flight Vehicle System and Control Technology Changsha China

ISBN: (纸本)9781839539954

The research status, mathematical models, and fault-tolerant control methods of hypersonic flight vehicles are reviewed. The current research progress of fault-tolerant control methods for hypersonic flight vehicles is summarized based on the typical hypersonic flight vehicles and their mathematical models. The fault-tolerant control methods are mainly divided into active fault-tolerant control and passive fault-tolerant control. The active fault-tolerant control needs to diagnose fault information and carry out fault-tolerant control strategy based on fault diagnosis results. The passive fault-tolerant control should have strong robustness with the design of the control system, it can adaptively suppress the impact of faults without diagnosis when faults occur. The typical fault-tolerant control methods mainly include approximate linear robust control, linear quadratic optimal control, linear parameter varying control, backstepping control, feedback linearization control, sliding mode control. The present status of fault-tolerant control methods of hypersonic flight vehicles and the application of advanced control methods in hypersonic flight vehicles are showed, then the future development trend is forecasted. © The Institution of engineering & Technology 2023.

关键词： Feedback linearization

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Research on Virtual Synchronous Generator with Frequency Error Free control 3

Research on Virtual Synchronous Generator with Frequency Err...

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2022 3rd international conference on Smart Grid and Energy engineering, SGEE 2022

作者： Zhan, Weiqiang Hu, Liang Yang, Guang Wang, Fan Yang, Mingbo Radar NCO School Air Force Early Warning Academy Hubei Wuhan430000 China

A virtual synchronous generator control strategy based on the power angle characteristics of synchronous generators is designed for the independent distributed generation system. The control strategy designed has good stability, and realizes the zero difference control of the virtual synchronous generator frequency. The virtual synchronous generators can coordinate the power output in real-time, and show good stability in single-machine operation and multiple parallel operations. Finally, the effectiveness of the designed control strategy is verified by Matlab/Simulink simulation. © Published under licence by IOP Publishing Ltd.

关键词： Synchronous generators

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