检索结果-内蒙古大学图书馆

On the optimality of uniform velocity-deceleration separation scheme for tethered satellite systems

control Theory and technology 2024年第4期22卷 503-516页

作者： Peng Yu Ji-Feng Zhang Shuping Tan Jin Guo Yanlong Zhao School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China Beijing Institute of Control Engineering Beijing100094China

For mitigating the libration angle fluctuation of the tethered satellite system,this paper discusses how to make the uniform velocity-deceleration separation scheme achieve the best ***,a judgment condition is established to determine the tether state by comparing the tether length and the relative distance of the sub-satellite and the parent *** on the tethered satellite system dynamics equation and Clohessy-Wiltshire equation,dynamic models are given for four cases of tether ***,the influence of the uniform velocity-deceleration separation scheme on the libration angle is analyzed by taking the libration angle at the separation ending time and the mean absolute value of the libration angle as index ***,the optimality problem of the uniform velocity-deceleration separation scheme is formulated as an optimization problem with constraints,and an approximate solution algorithm is given by combining the back propagation neural network and Newton-Raphson method of multiple initial ***,the effectiveness of the proposed method is verified by a numerical simulation.

关键词： Tethered satellite systems Libration angle Uniform velocity-deceleration separation Neural network

来源：评论

学校读者我要写书评

暂无评论

The Design Optimization of the High-Frequency Planar Transformers for Electric Vehicle Chargers 7

The Design Optimization of the High-Frequency Planar Transfo...

引用

7th IEEE International electrical and Energy Conference, CIEEC 2024

作者： Zhang, Li Shen, Min Wang, Xiaozhou Zhao, Shuang Li, Helong Yang, Zhiqing Ding, Lijian School of Electrical and Automation Engineering Hefei University of Technology HeFei China School of Intelligent Manufacturing and Control Engineer Qilu Institute of Technolgy Jinan China School of Electrical and Automation Engineering Hefei University of Technology China

ISBN: (纸本)9798350359558

Electric vehicle chargers can be divided into high-voltage DC (HVDC) system for charging power battery and low-voltage DC (LVDC) system for supplying low-voltage battery. Since the next generation EVs is getting smarter, they calls for chargers with higher power rating, higher power density and reduced loss which poses challenges for the LVDC systems design. In this paper, LLC resonant DC/DC converter is selected for HVDC system and two-stage converter with a Buck/Boost converter and an SRC converter is used for LVDC system. Circuit parameter design and high frequency (HF) planar transformer design are conducted for the aforementioned two kinds of converters respectively. For HVDC system, a transformer integrating resonant inductance and magnetizing inductance on a core is designed, and for LVDC system, a quarter-turn transformer is designed. The rationality and high efficiency of the two high HF planar transformer designs are verified by simulation and experiment results. © 2024 IEEE.

关键词： Inductance

来源：评论

学校读者我要写书评

暂无评论

RELIABILITY PREDICTION OF POWER ELECTRONIC CONVERTERS BASED ON SURROGATE MODELS 14

RELIABILITY PREDICTION OF POWER ELECTRONIC CONVERTERS BASED ...

引用

14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2024

作者： Gao, Junpeng Zhao, Zichuan Chen, Cen Ye, Xuerong Zhai, Guofu School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China AVIC Xi'an Flight Automatic Control Research Institute Xi'an China

ISBN: (纸本)9781837242672

Power electronic converters (PEC) are integral to various sectors, including power systems, transportation, and industrial production, where their reliability significantly influences overall system performance. Despite its importance, current research has not thoroughly addressed the simultaneous impact of component performance degradation and functional failures on electronic system performance. This paper introduces a reliability prediction method for PEC that considers both component performance degradation and functional failure. Initially, digital prototype models of PEC are developed to accurately represent the operational processes and simulate performance under each critical fault mode. To minimize simulation costs, two surrogate models based on neural networks are then established for PEC. Subsequently, through iterative calculations that utilize models of performance degradation and functional failures of components, an analysis of both PEC performance degradation and functional failure states is conducted, facilitating the completion of PEC reliability prediction. This proposed framework for reliability prediction may also be applicable to other electronic systems. © The Institution of Engineering & technology 2024.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Deep reinforcement learning guidance with impact time control

引用

Journal of Systems Engineering and Electronics 2024年第6期35卷 1594-1603页

作者： LI Guofei LI Shituo LI Bohao WU Yunjie School of Astronautics Northwestern Polytechnical UniversityXi’an 710072China Beijing Institute of Control and Electronic Technology Beijing 100038China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

In consideration of the field-of-view(FOV)angle con-straint,this study focuses on the guidance problem with impact time control.A deep reinforcement learning guidance method is given for the missile to obtain the desired impact time and meet the demand of FOV angle *** basis of the framework of the proportional navigation guidance,an auxiliary control term is supplemented by the distributed deep deterministic policy gradient algorithm,in which the reward functions are developed to decrease the time-to-go error and improve the terminal guid-ance *** numerical simulation demonstrates that the missile governed by the presented deep reinforcement learning guidance law can hit the target successfully at appointed arrival time.

关键词： impact time deep reinforcement learning guidance law field-of-view(FOV)angle deep deterministic policy gradient

来源：评论

学校读者我要写书评

暂无评论

PI-Based Set-Point Learning control for Batch Processes with Unknown Dynamics and Nonrepetitive Uncertainties

引用

IEEE Transactions on Automatic control 2024年第6期70卷 3649-3664页

作者： Hao, Shoulin Liu, Tao Rogers, Eric Wang, Youqing Paszke, Wojciech Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Eduction The Institute of Advanced Measurement and Control Technology Dalian116024 China Beijing University of Chemical Technology College of Information Science and Technology Beijing100029 China University of Zielona Góra Institute of Automation Electronic and Electrical Engineering Zielona Góra65-246 Poland

For industrial batch processes with unknown dynamics subject to nonrepetitive initial conditions and disturbances, this paper develops a novel adaptive data-driven set-point learning control (ADDSPLC) scheme based on only the measured process input and output data, which has two loops, one for the dynamics within a batch and the other for the batch-to-batch dynamics. In the former case, a model-free tuning strategy is firstly presented for determining the closed-loop PI controller parameters. For the latter case, a set-point learning control law with adaptive set-point learning gain and gradient estimation is developed for batch run optimization. Robust convergence of the output tracking error is rigorously analyzed together with the boundedness of adaptive learning gain and real-time updated set-point command. Moreover, another iterative extended state observer based (ADDSPLC) scheme is developed with rigorous convergence and boundedness analysis, to enhance the robust tracking performance against nonrepetitive uncertainties. Finally, two illustrative examples from the literature are used to demonstrate the effectiveness and superiority of the new schemes over the recently developed data-driven learning control designs. © 1963-2012 IEEE.

关键词： Batch data processing

来源：评论

学校读者我要写书评

暂无评论

Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization

引用

IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1458-1475页

作者： Jing Liang Hongyu Lin Caitong Yue Ponnuthurai Nagaratnam Suganthan Yaonan Wang School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001 School of Electrical Engineering and Automation Henan Institute of TechnologyXinxiang 453003China School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China KINDI Center for Computing Research Qatar UniversityDohaQatarand also with the Nanyang Technology UniversitySingapore College of Electrical and Information Engineering and also with the National Engineering Research Center for Robot Visual Perception and Control TechnologyHunan UniversityChangsha 410082China IEEE

In multimodal multiobjective optimization problems(MMOPs),there are several Pareto optimal solutions corre-sponding to the identical objective *** paper proposes a new differential evolution algorithm to solve MMOPs with higher-dimensional decision *** to the increase in the dimensions of decision variables in real-world MMOPs,it is diffi-cult for current multimodal multiobjective optimization evolu-tionary algorithms(MMOEAs)to find multiple Pareto optimal *** proposed algorithm adopts a dual-population framework and an improved environmental selection *** utilizes a convergence archive to help the first population improve the quality of *** improved environmental selection method enables the other population to search the remaining decision space and reserve more Pareto optimal solutions through the information of the first *** combination of these two strategies helps to effectively balance and enhance conver-gence and diversity *** addition,to study the per-formance of the proposed algorithm,a novel set of multimodal multiobjective optimization test functions with extensible decision variables is *** proposed MMOEA is certified to be effective through comparison with six state-of-the-art MMOEAs on the test functions.

关键词： Benchmark functions diversity measure evolution-ary algorithms multimodal multiobjective optimization.

来源：评论

学校读者我要写书评

暂无评论

Robot-Based Auto-labeling System for 6D Pose Estimation 8th

Robot-Based Auto-labeling System for 6D Pose Estimation

引用

8th International Congress on Information and Communication technology, ICICT 2023

作者： Lin, Hsien-I. Chang, Jun-Shiang Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Graduate Institute of Automation Technology National Taipei University of Technology Taipei Taiwan

ISBN: (纸本)9789819930425

6D object pose estimation is an ongoing research area in the field of computer vision. Many existing methods rely on supervised deep learning models which require multiple accurate 6D pose annotations to predict object poses. However, labeling the 6D pose is complex and time-consuming in traditional methods. In this study, we propose a robotic-arm-based 6D object pose auto-labeling approach which has limited human interaction involved. Translations and rotations of the object in the camera coordinate system can be calculated using a sequence of known robot poses and the transformation between the camera and the robot. We also implemented our custom dataset generated by the auto-labeling system in the existing 6D object pose estimation approach. Evaluation results show that the model can recognize our own test dataset and attempted 90% accuracy using ADD metric with 0.05 threshold. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robotic arms

来源：评论

学校读者我要写书评

暂无评论

Design of A Novel Primary Permanent Magnet Linear Machine with Low Thrust Ripple 7

Design of A Novel Primary Permanent Magnet Linear Machine wi...

引用

7th IEEE Student Conference on Electric Machines and Systems, SCEMS 2024

作者： Chai, Jiawei Xu, Jiajia Gui, Xianguo Gao, Qiang School of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Innovation Center for Control Actuators Beijing Institute of Precision Mechatronics and Controls Beijing China

ISBN: (纸本)9798350366945

In order to reduce thrust ripple, this paper proposes a new primary permanent magnet linear machine with uneven pole (UP-PPMLM). Firstly, the proposed structure and advantages compared to conventional structure are introduced. Then, the expressions of air-gap flux density by permanent magnets (PMs) and armature reaction are derived. Finally, by using finite element method (FEM), the new topology reasonability is proved. Meanwhile, the performances of proposed machines are compared to conventional topology, and the result confirms the electromagnetic performances of the proposed machine have been greatly improved. © 2024 IEEE.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Flexible prescribed performance-based approaching control for UAV aerial recovery under multiwind disturbances

引用

Chinese Journal of Aeronautics 2025年第4期38卷 420-436页

作者： Yanxiang WANG Honglun WANG Junfan ZHU Yiheng LIU Menghua ZHANG Zikang SU School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China The Science and Technology on Aircraft Control Laboratory Beihang UniversityBeijing 100191China Shenyuan Honors College Beihang UniversityBeijing 100191China Beijing Institute of Astronautical Systems Engineering Beijing 100076China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China

This article investigates the approaching control for fixed-wing Unmanned Aerial Vehi-cle(UAV)aerial recovery in the presence of pre-specified performance requirements,complex air-flows,maneuvering flight of transport aircraft,and different initial ***,a novelcontrol-oriented Six-Degree-Of-Freedom(6-DOF)UAV model considering airflow disturbancesis established for better consistency with the actual UAV ***,to achieve satisfactory per-formance in the approaching process,a Flexible Appointed-time Prescribed Performance control(FAPPC)algorithm,with the features of user-specified time convergence,no overshoot,indepen-dence from the initial value,and singularity-free,is ***,to solve the singularityissue encountered by the existing PPC methods in dealing with sudden disturbances,an adaptiveadjustment signal is introduced in FAPPC to perceive the threat of increasing error and relax thepreset boundaries ***,minimum learning parameter-based neural networkestimators are developed to approximate unknown lumped disturbances at a low ***,the stability of the closed system is analyzed via Lyapunov synthesis,and the effective-ness and advantages of the proposed control scheme are demonstrated via simulation andHardware-In-the-Loop(HIL)experimental validation.

关键词： Approaching control UAV aerial recovery Flexible prescribed performance control Sudden disturbances Neural network estimator

来源：评论

学校读者我要写书评

暂无评论

An Optimization Method for the Swing of a Quadrotor Flight Suspension System 25

An Optimization Method for the Swing of a Quadrotor Flight S...

引用

25th IEEE China Conference on System Simulation technology and its Application, CCSSTA 2024

作者： Yang, Sen Zang, Xinlian Tong, Jigang Xie, Tian Jin, Xin Tianjin University of Technology The School of Electrical Engineering and Automation Tianjin China AVIC Xi'an Flight Automatic Control Research Institute National key laboratory of science and technology on aircraft control Xi'an China

ISBN: (纸本)9798350366600

The aim of this study is to explore optimization control methods for suspension systems during the flight of quadcopters. The traditional control method of suspension system has some problems such as oscillation and instability, so an optimization scheme based on Gaussian pseudo-general algorithm is proposed in this paper. Through numerical simulation and actual flight test, the effectiveness of the optimization algorithm in improving system stability and reducing oscillation amplitude is verified. At the same time, this study conducted a comparative analysis of the suspension system of the quadrotor vehicle and the free fall body, and the optimization algorithm is found to be feasible and can well improve the control accuracy and stability of the system, and provide strong support for the safety of the quadrotor vehicle in various application scenarios. © 2024 IEEE.

关键词： Flight testing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：