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Reachable set estimation for spacecraft relative motion based on bang-bang principle

Chinese Journal of Aeronautics 2023年第2期36卷 229-240页

作者： Lizhen SHAO Haibin MIAO Renhong HU Hongjin LIU Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China Shunde Graduate School of University of Science and Technology Beijing 100083China School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen 528399China Beijing Institute of Control Engineering Beijing 100190China Beijing Sunwise Space Technology Ltd. Beijing 100190China

For spacecraft formation flight,the information of relative motion reachable set is very important,which can be used to predict the operating boundary of adjacent spacecraft and thus to ensure the safety of spacecraft *** this paper,we aim at developing a numerical method to approximate the reachable set for spacecraft relative *** particular,we focus on the quality of the approximation and the computational *** on the bang-bang control principle,a polyhedral approximation algorithm is proposed to compute the reachable set of a relative motion spacecraft *** inner approximation and an outer approximation of the reachable set for the system can be *** prove that the approximation quality measured in Hausdorff distance can be *** method is easy to implement and has low computational ***,the effectiveness of the algorithm is demonstrated by experimental simulation.

关键词： Polyhedral approximation Reachable set Spacecraft control Spacecraft relative motion The bang-bang control principle

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Relaxed Stability Criteria for Time-Delay Systems:A Novel Quadratic Function Convex Approximation Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 996-1006页

作者： Shenquan Wang Wenchengyu Ji Yulian Jiang Yanzheng Zhu Jian Sun College of Electrical and Electronic Engineering Changchun University of TechnologyChangchun 130012China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Key Laboratory of Complex Systems Intelligent Control and Decision Beijing Institute of TechnologyBeijing 100081China

This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying *** introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic *** developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular ***,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre *** a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay ***,the superiority of our results is illustrated through three numerical examples.

关键词： Equivalent reciprocal combination technique quadratic function convex approximation approach stability timevarying delay

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Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 1096-1098页

作者： Wenkai Hu Xiangxiang Zhang Jiandong Wang Guang Yang Yuxin Cai School of Automation China University of GeosciencesWuhan 430074Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsWuhan 430074 Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

Dear Editor,This letter proposes a new pattern matching method based on word embedding and dynamic time warping(DTW)to identify groups of similar alarm ***,alarm messages are transformed into numeric values that represent alarms and also reflect the relationships between alarm ***,similarities between numerically encoded alarm flood sequences are calculated by DTW and groups of similar floods are identified via *** effectiveness of the proposed method is demonstrated by a case study with alarm&event data obtained from a public industrial simulation model.

关键词： Word Alarm DTW

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Electrical Scheme Digitization Using Deep Learning Methods 46

Electrical Scheme Digitization Using Deep Learning Methods

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46th ICT and Electronics Convention, MIPRO 2023

作者： Putak, Marko Baksa, Vatroslav Zuppa Bednjanec, Andrea Zagreb University of Applied Sciences/Automation and Process Control Engineering Zagreb Croatia

ISBN: (纸本)9789532331042

The use of software tools and applications progressively became a standard in both education and industry. A solution for hand-drawn electrical scheme digitization has been proposed to match the fast-paced dynamic of the modern world in the field of electrical engineering. The aim is to notably reduce time-consuming and error-prone electrical scheme tracing from hand-drawn to simulating software. The means have been achieved through the usage of state-of-the-art deep learning model YOLOv5 for electrical elements detection along with Python and OpenCV library for data processing. The user's input is an image of a hand-drawn circuit, and the end result is an LTspice digitized electrical scheme ready for simulation. © 2023 MIPRO Croatian Society.

关键词： Object detection

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Multimodal industrial gearbox fault diagnosis based on vibration signals and infrared thermal imaging 24

Multimodal industrial gearbox fault diagnosis based on vibra...

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2nd International Conference on Frontiers of Intelligent Manufacturing and automation, CFIMA 2024

作者： Cao, Xunqi Li, Yan Yu, Kun Zhang, Yongchao School of Information and Control Engineering China University of Mining and Technology Xuzhou China School of Mechanical Engineering and Automation Northeastern University Shenyang China

ISBN: (纸本)9798400710681

Today, relying solely on individual vibration signals as features, intelligent fault diagnosis of gearboxes can no longer satisfy the demands of complex systems. Based on multimodal information fusion methods, it has become the main direction for gearbox fault diagnosis. Thermal images are not only easy to capture during the production process, but also can intuitively reflect the thermal change characteristics generated by various gearbox components during mechanical operation. In order to achieve multi-source information fusion and improve the accuracy of gearbox fault detection, this paper aims to propose a multimodal gearbox fault diagnosis method based on vibration signals and thermal imaging. This method combines two data sources, vibration signals and thermal images, and utilizes the powerful feature extraction ability of convolutional neural networks (CNN) to comprehensively explore the deep features of gearbox fault information, improving the accuracy and reliability of fault diagnosis. Through experimental verification, the method proposed in this paper demonstrates excellent performance in fault diagnosis of helical gearboxes, with higher diagnostic accuracy compared to single vibration signal input and single thermal imaging input methods. © 2024 Copyright held by the owner/author(s).

关键词： Convolutional neural networks

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A Novel Thermal Analysis Method for Tubular PM Linear Motors Based on Transfer Learning

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7379-7388页

作者： Wu, Tao Dai, Peipei Xue, Gang Guo, Youguang Lei, Gang Zhu, Jianguo Wang, Yifei China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China University of Technology Sydney School of Electrical and Data Engineering NSW2007 Australia University of Sydney School of Electrical and Computer Engineering SydneyNSW2006 Australia

Thermal modeling and analysis are critical for permanent magnet linear synchronous motors (PMLSMs), particularly in multi-physical analysis and motor design optimization. This paper proposes a new method for thermal steady state modeling and analysis based on transfer learning, which combines the thermal mechanism model with the data-driven model to achieve high-precision temperature analysis with small number of finite element analysis (FEA) samples. First, an equivalent thermal circuit (ETC) model is established for PMLSMs based on the structural parameters and heat transfer principles. Second, a hybrid model based on transfer learning is developed: the model is pre-trained by a large sample set generated from the ETC in the source field (mechanism analytical model), and then the trained model is transferred to the target field (FEA data-driven model). The parameters of the neural network in the target field are optimized by a few FEA sample sets with higher precision to improve the prediction accuracy of the target model. Experimental results demonstrate that the proposed method significantly boosts the performance of the deep neural network (DNN) model, particularly when training sets are small. The root mean square error (RMSE) of the DNN model decreases by 0.901 in the 5:5 (training/testing) dataset and 1.726 in the 2:8 dataset;and the corresponding R2 and maximal absolute error of motor performances are significantly decreased. The smaller the proportion of the training set, the better performance of the hybrid modeling will achieve. Furthermore, a temperature rise experiment conducted on a prototype motor validates the efficacy and precision of the proposed hybrid modeling methodology. © 2015 IEEE.

关键词： Permanent magnets

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Image-Based Fast Finite-Time Target Tracking control of Onboard Inertially Stabilized Camera Platform

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IEEE Transactions on Industrial Electronics 2024年第12期71卷 16409-16418页

作者： Sun, Xunhong Zhu, Wenwu Du, Haibo Chen, Weile Chen, Chih-Chiang Hefei University of Technology School of Electrical Engineering and Automation Hefei230009 China Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Southeast University School of Automation Nanjing210096 China National Cheng Kung University Department of Systems and Naval Mechatronic Engineering Tainan70101 Taiwan

In this article, we investigate the problem of fast finite-time target tracking control of the inertially stabilized platform (ISP) with a camera that mounted on a mobile robot. At first, the kinematics of the onboard ISP target tracking system is established by the geographic coordinate and pinhole camera model, which includes the state-dependent uncertainties and external disturbances. Then, based on the image information captured by camera, a continuous image-based fast finite-time control algorithm is designed for target tracking. Rigorous analysis proves that the target can be tracked at the center of camera's view in finite time in the absence of disturbances. In the presence of disturbances, the tracking error can converge to a region around the origin in finite time. Simulation and experimental comparisons are presented to confirm the efficiency of the proposed method. © 1982-2012 IEEE.

关键词： Mobile robots

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Vision-Based Quadrotor Rapid Landing control with An Uncooperative Platform: An Alternating Predictive Observer Approach

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-13页

作者： Shao, Liren Guo, Zeyu Yang, Jun Li, Shihua School of Automation Key Laboratory of Measurement and Control of CSE Ministry of Education Southeast University China Department of Aeronautical and Automotive Engineering Loughborough University Loughborough U.K

The challenge of allowing a quadrotor to land quickly on an unknown moving platform using visual cues is addressed. A position-based visual servoing (PBVS) framework is designed that utilises the relative position data captured by the onboard camera to ensure a successful landing. The inherent limitation imposed by the camera's low sampling rate, which hampers the update and transfer rate of control commands, is mitigated by introducing an alternating predictive observer (APO). This observer inputs rapid actual or virtual position information into the control system. Actual relative positions are used for observer design when available from the camera, whereas virtual relative positions, predicted by the quadrotor model, are used when direct sampling is unattainable. This approach enables a process that alternates between prediction and observation, allowing for the design of a sampled-data controller that updates at a fast rate, commensurate with the APO. The robustness of the proposed PBVS-APO controller is exhibited, requiring no prior knowledge of the platform's dynamics. Validation through numerical simulations and experiments confirms the high control bandwidth and the rapid landing efficacy of the control strategy. IEEE

关键词： Cameras

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Distributed state estimation for heterogeneous mobile sensor networks with stochastic observation loss

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Chinese Journal of Aeronautics 2022年第2期35卷 265-275页

作者： Yingrong YU Jianglong YU Yishi LIU Zhang REN Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang.UniversityBeijing 100191China

The problem of distributed fusion and random observation loss for mobile sensor networks is investigated *** view of the fact that the measured values,sampling frequency and noise of various sensors are different,the observation model of a heterogeneous network is constructed.A binary random variable is introduced to describe the drop of observation component and the topology switching problem caused by complete observation loss is also considered.A cubature information filtering algorithm is adopted to design local filters for each observer to suppress the negative effects of measurement *** derive a consistent and accurate estimation result,a novel weighted average consensus-based filtering approach is put *** the sensor that suffers from observation loss,its local prediction information vector is fused with the information contribution vectors of the neighbors to obtain the local *** the consensus weight matrix is designed for consensus-based distributed collaborative information *** boundness of the estimation errors is proved by employing the stochastic stability *** the end,two numerical examples are offered to assert the validity of the presented method.

关键词： Consistency theorem Heterogeneous sensor networks Information fusion State estimation Stochastic boundedness

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Type synthesis of a new class of 4-3T1R(y) parallel mechanisms for parallel machine tools design

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Discover Mechanical engineering 2024年第1期3卷 1-19页

作者： Wu, Shiyun Du, Jianjun Pan, Jianfei Lei, Jianguo School of Mechanical Engineering and Automation Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen 518061 China

Unlike previous design procedures for parallel machine tools (PMTs), this paper first analyzes the path and posture requirements of the tools in universal processing, then proposes and constructs a new class of PMs that can provide the required path and posture. This opens up new ideas for the design of PMTs. Based on the reciprocal screw theory, a type synthesis process of asymmetrical lower-mobility PMs was proposed. Through this process, a novel class of four-limbed parallel mechanisms (PMs) providing three translations and one rotation around a horizontal axis (y-axis), denoted as 4-3T1R(y) PMs, was successfully proposed and constructed. Such PMs can be applied to the design of PMTs, especially the design of micro-electrical discharge machining (micro-EDM) PMTs. The structural design of a new 2RRC-2CRU PM, which was a member of 4-3T1R(y) PMs, was performed, and its mobility was analyzed in detail to demonstrate the efficiency of the proposed type synthesis process. The inverse, forward, and velocity kinematics problems of the 2RRC-2CRU PM were solved for further applications. © The Author(s) 2024.

关键词： Kinematics problem Parallel machine tools Parallel mechanisms Type synthesis

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