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7th International Symposium on Autonomous systems, ISAS 2024

作者： Liu, Shanlin Zhang, Yingwei Zhao, Xudong Wang, Hesheng Northeastern University College of Information Science and Engineering Shenyang China Northeastern University State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350363173

In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduced to estimate unknown functions of the system under consideration. Compared with traditional NNs that ignore approximation errors, the proposed extended NNs further processes approximation errors, reducing the conservatism of the proposed algorithm. Then, within the framework of backstepping method, a new adaptive control strategy is developed by combining event-triggered mechanism (ETM) and bound estimation (BE) approach, which ensures the asymptotic convergence of system states while also reducing the transmission of unnecessary information, thus improving the utilization of communication resources. At the same time, the designed controller eliminates the adverse effects of actuator failures and system nonlinear terms. Finally, a simulation example of a single-link robot system is provided to demonstrate that the developed control strategy can ensure that all signals are bounded and system states are asymptotically convergent. © 2024 IEEE.

关键词： Approximation algorithms

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Temperature control method and verification for spaceborne atomic clock based on phase change technology 2

Temperature control method and verification for spaceborne a...

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2023 2nd International Conference on Mechanical, Aerospace Technology and Materials Application, MATMA 2023

作者： Yang, Changpeng Ren, Hongyan Song, Yunfei Xu, Feng Yang, Huning Beijing Key Laboratory of Space Thermal Control Technology Beijing Institute of Spacecraft System Engineering Beijing100094 China School of Engineering Science University of Science and Technology of China Hefei230027 China

The spaceborne atomic clock, as the time reference for navigation signal generation and system ranging, is the core component of the satellite system payload, and temperature stability is one of the main factors affecting the output frequency stability of the atomic clock. To ensure its continuous and stable operation in orbit, the temperature control system needs to provide a good working temperature environment for it. This article takes the high stability temperature control of the rubidium atomic clock in low-Earth inclined orbit as the research background, and conducts research on temperature control methods and phase change devices based on phase change technology. Simulation analysis and in-orbit telemetry data show that, by utilizing the temperature stability characteristic during the phase change process, the phase change temperature control system effectively suppresses the temperature fluctuations of the rubidium atomic clock caused by drastic changes in the space thermal environment. © Published under licence by IOP Publishing Ltd.

关键词： Atomic clocks

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Preliminary Study on the Method of Generating Infrared Image Based on CycleGAN 19th

Preliminary Study on the Method of Generating Infrared Image...

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19th Chinese Intelligent systems Conference, CISC 2023

作者： Sun, Baiping Tong, Jiahui Geng, Huapin Beijing Electromechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789819968855

Traditional infrared scene simulation method mainly includes the establishment of 3D geometric model of the target, the establishment of scene radiation model, the relationship mapping between infrared radiation and infrared image gray value and other steps. The whole process is tedious, and contain more calculated parameters. This paper introduce CycleGAN network, draw on its ring network structure and unpaired data or paired data as a training set, realize the advantages of domain image conversion effect, explore the visible light image conversion into corresponding infrared image, solve the problems such as samples in the process of infrared imaging simulation is limited, fidelity is low, and coverage is limited. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Infrared radiation

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Online Multi-Object Tracking Under Moving Unmanned Aerial Vehicle Platform Based on Object Detection and Feature Extraction Network

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 388-399页

作者：刘增敏王申涛姚莉秀蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China JD Business Growth Department Beijing 100176China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

In order to solve the problem of small object size and low detection accuracy under the unmanned aerial vehicle(UAV)platform,the object detection algorithm based on deep aggregation network and high-resolution fusion module is ***,a joint network of object detection and feature extraction is studied to construct a real-time multi-object tracking *** the problem of object association failure caused by UAV movement,image registration is applied to multi-object tracking and a camera motion discrimination model is proposed to improve the speed of the multi-object tracking *** simulation results show that the algorithm proposed in this study can improve the accuracy of multi-object tracking under the UAV platform,and effectively solve the problem of association failure caused by UAV movement.

关键词： moving unmanned aerial vehicle(UAV)platform small object feature extraction image registration multi-object tracking

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Deep Learning Based Signal Detector for OFDM systems

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China Communications 2023年第12期20卷 66-77页

作者： Guangliang Pan Wei Wang Minglei Li Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyCollege of Electronic and Information EngineeringNanjing University of Aeronautics and AstronauticsNanjing 211106China College of Control Science and Engineering China University of Petroleum(East China)Qingdao 266580China

In this paper,we propose a novel deep learning(DL)-based receiver design for orthogonal frequency division multiplexing(OFDM)*** entire process of channel estimation,equalization,and signal detection is replaced by a neural network(NN),and hence,the detector is called a NN detector(N^(2)D).First,an OFDM signal model is *** analyze both temporal and spectral characteristics of OFDM signals,which are the motivation for ***,the generated data based on the simulation of channel statistics is used for offline training of bi-directional long short-term memory(Bi-LSTM)***,a discriminator(F)is added to the input of Bi-LSTM NN to look for subcarrier transmission data with optimal channel gain(OCG),which can greatly improve the performance of the ***,the trained N^(2)D is used for online recovery of OFDM *** performance of the proposed N^(2)D is analyzed theoretically in terms of bit error rate(BER)by Monte Carlo simulation under different parameter *** simulation results demonstrate that the BER of N^(2)D is obviously lower than other algorithms,especially at high signal-to-noise ratios(SNRs).Meanwhile,the proposed N^(2)D is robust to the fluctuation of parameter values.

关键词： channel estimation deep learning OFDM optimal channel gain signal detection

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Flow and thermal modeling of liquid metal in expanded microchannel heat sink

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Frontiers in Energy 2023年第6期17卷 796-810页

作者： Mingkuan ZHANG Xudong ZHANG Luna GUO Xuan LI Wei RAO Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin 300384China Key Laboratory for Thermal Science and Power Engineering of the Ministry of Education Department of Engineering MechanicsTsinghua UniversityBeijing 100084China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China Institute of Refrigeration and Cryogenics Shanghai Jiao Tong UniversityShanghai 200240China Beijing Key Laboratory of CryoBiomedical Engineering and Key Laboratory of Cryogenics Beijing 100190China

Liquid metal-based microchannel heat sinks (MCHSs) suffer from the low heat capacity of coolant, resulting in an excessive temperature rise of coolant and heat sink when dealing with high-power heat dissipation. In this paper, it was found that expanded space at the top of fins could distribute the heat inside microchannels, reducing the temperature rise of coolant and heat sink. The orthogonal experiments revealed that expanding the top space of channels yielded similar temperature reductions to changing the channel width. The flow and thermal modeling of expanded microchannel heat sink (E-MCHS) were analyzed by both using the 3-dimensional (3D) numerical simulation and the 1-dimensional (1D) thermal resistance model. The fin efficiency of E-MCHS was derived to improve the accuracy of the 1D thermal resistance model. The heat conduction of liquid metal in Z direction and the heat convection between the top surface of fins and the liquid metal could reduce the total thermal resistance (Rt). The above process was effective for microchannels with low channel aspect ratio, low mean velocity (Um) or long heat sink length. The maximum thermal resistance reduction in the example of this paper reached 36.0%. The expanded space endowed the heat sink with lower pressure, which might further reduce the pumping power (P). This rule was feasible both when fins were truncated (h_(2) < 0, h_(2) is the height of expanded channel for E-MCHS) and when over plate was raised (h_(2) > 0).

关键词： liquid metal cooling heat sink expanded microchannel flow and thermal modeling

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Experimental and numerical studies on buckling and post-buckling behavior of T-stiffened variable stiffness panels

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Chinese Journal of Aeronautics 2024年第10期37卷 459-470页

作者： Yan HUANG Yahui ZHANG Bin KONG Jiefei GU Zhe WANG Puhui CHEN State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China AVIC Aviation Power Control System Research Institute Wuxi 214063China Chengdu Aircraft Design and Research Institute Aviation Industry Corporation of ChinaChengdu 610091China School of Mechanical Engineering Jiangnan UniversityWuxi 214122China School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China China National Key Laboratory of Strength and Structural Integrity Aircraft Strength Research Institute of ChinaXi’an 710065China

Currently,experimental research on variable stiffness design mainly focuses on *** ensure adaptability in practical application,it is imperative to conduct a systematic study on stiffened variable stiffness structures,including design,manufacture,experiment,and *** on the minimum curvature radius and process schemes,two types of T-stiffened panels were designed and *** compression tests have been carried out and the results indicate that the buckling load of variable stiffness specimens is increased by 26.0%,while the failure load is decreased by 19.6%.The influence mechanism of variable stiffness design on the buckling and failure behavior of T-stiffened panels was explicated by numerical *** primary reason for the reduced strength is the significantly increased load bearing ratio of *** experimental investigations of stiffened variable stiffness structures are very rare,this study can be considered a reference for future work.

关键词： Variable stiffness composite Buckling Post-buckling Finite element method Stiffened panels

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Fault Diagnosis of Rolling Bearing in Broad Learning system Based on Multi-domain Feature Selection

Fault Diagnosis of Rolling Bearing in Broad Learning System ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Ouyang, Bing Zhang, Chao Wu, Le Liu, Guiyi Wu, Yangbiao Xu, Shuai School of Mechanical Engineering Inner Monglia University of Science and Technology Baotou014010 China Inner Monglia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System Baotou014010 China

ISBN: (纸本)9783031734069

This paper presents a novel solution for bearing fault diagnosis based on a Broad Learning system with multi-domain feature selection. Currently, the diagnosis of bearing faults is beset with numerous challenges, including operation under complex and fluctuating conditions, the subtlety of early fault indicators, noise interference in measurement signals, variations in operational conditions, and a broad spectrum of potential fault types. These factors collectively contribute to the complexity of accurately identifying and classifying bearing faults. The Broad Learning system introduced in this paper, by integrating multi-domain feature selection, enhances the model's capability to extract and utilize relevant features from noisy or incomplete data, potentially increasing diagnostic accuracy in suboptimal sensor environments. By leveraging features across multiple domains, the method based on the Broad Learning system can capture a wider array of fault characteristics, thereby broadening its applicability across various types of bearing faults and operational conditions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Roller bearings

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Adaptive Virtual Synchronous Machine control Strategy for MMC Interconnect Converter Based on Distributed Measurement 9

Adaptive Virtual Synchronous Machine Control Strategy for MM...

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9th Asia Conference on Power and Electrical engineering, ACPEE 2024

作者： Lu, Shaoqun Xiang, Zhengrong Zhong, Kunyan Meng, Jinxue Dang, Yinning Guangxi Science&Technology Normal University School of Mechanical and Electrical Engineering Laibin China Hunan Vocational Institute of Technology Hunan Engineering Laboratory for Photovolatic System Control and Optimization Xiangtan China

ISBN: (纸本)9798350309638

Aiming at the problem of poor stability and response of traditional voltage source control, an adaptive virtual synchronous machine control strategy for Modular Multilevel Converter (MMC) interconnect converter based on distributed measurement is proposed. Through the introduction of virtual synchronous machine control, the interconnect converter can actively participate in grid stabilisation, and its adaptive strategy is adopted to enhance control system suppression capability on frequency oscillation, and the distributed measurement-based MCC control method can solve the insufficient flexibility and scalability of the traditional MMC centralised control strategy. The experimental results show that a large inertia in the DC bus dynamic process helps to enhance the voltage stability of the DC microgrid system. The AC microgrid bus frequency also has a large inertia, which contributes to the AC microgrid frequency stability. The transmitted power has greater inertia during load variations, especially when the load variations are greater. In addition, the distributed measurement-based MMC interconnect converter excels in steady-state control performance, balancing the capacitive voltages of the sub-modules and maintaining stable operation of the system through steady-state distributed control. © 2024 IEEE.

关键词： Balancing

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Line Feature Based Visual Servo control with TDE for Underwater Vehicle Manipulator systems Target Grasping

Line Feature Based Visual Servo Control with TDE for Underwa...

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2024 IEEE International Conference on Unmanned systems, ICUS 2024

作者： Zhang, Yunfei Bian, Xinyu Sun, Yize Zhang, Zongyu Huang, Hai Yang, Xu National Key Laboratory of Autonomous Marine Vehicle Technology Harbin Engineering University Harbin China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350384185

Underwater vehicle manipulator systems (UVMSs) is becoming a research hotspot in the field of marine intelligent equipment. Introducing visual feedback equipped with cameras in the loop to guide UVMS to complete the grasping has comprehensive advantages of response speed, work efficiency and intelligence. In this paper, mapping between the feature error and the motion of the UVMS generalized degrees of freedom is established to realize the suspended grasping under the coordinated motion of the vehicle body and the manipulator. Then, a UVMS motion control algorithm based on time delay estimation (TDE) is constructed for visual servo autonomous grasping process, the TDE of which is used to estimate and compensate the lumped interference in real time. The Lyapunov theory is applied to analyze its stability and its control performance is verified through simulation experiments. The simulation results shew the effectiveness of the proposed visual servo control with TED method based on line features. © 2024 IEEE.

关键词： Visual servoing

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