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2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2021

作者： Liang, Hanyu Liu, Yun Liu, Chengrui Liu, Wenjing Li, Wenbo Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory Beijing China

ISBN: (纸本)9781665401159

In order to ensure the safe, reliable and stable operation of spacecraft, this paper studies the fault diagnosis of spacecraft high-dimensional data by applying the machine learning technology, aiming at the characteristics of spacecraft, such as closed-loop fault propagation, few fault samples and limitation of on-orbit computing capability. For the experimental data under the typical failure modes of spacecraft sensors and actuators, this paper will use some machine learning algorithms like K-Nearest Neighbor (KNN), Bayesian classifier, KNN based on Principal Component Analysis (PCA+KNN), to analyze fault diagnosis and to make a comparative analysis of the results. The results show as follows: it can reach better accuracy by using supervised learning algorithms in fault diagnosis classification;the dimensionality reduction can accelerate the calculation, but at the same time it will lose diagnostic accuracy, especially for highly-coupled and high-dimensional data;in the algorithm design, the task requirements and application conditions should be considered comprehensively, meanwhile the optimal fault diagnosis model can be selected by balancing the accuracy and computing time. © 2021 IEEE.

关键词： Failure analysis

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Optimal Cooperative Secondary control for Islanded DC Microgrids via a Fully Actuated Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 405-417页

作者： Yi Yu Guo-Ping Liu Yi Huang Peng Shi IEEE Shenzhen Key Laboratory of Control Theory and Intelligent Systems Southern University of Science and TechnologyShenzhen 518055China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China School of Electrical and Mechanical Engineering the University of AdelaideSA 5005Australia Research and Innovation Centre Obuda University1034 BudapestHungary

DC-DC converter-based multi-bus DC microgrids(MGs) in series have received much attention, where the conflict between voltage recovery and current balancing has been a hot topic. The lack of models that accurately portray the electrical characteristics of actual MGs while is controller design-friendly has kept the issue active. To this end, this paper establishes a large-signal model containing the comprehensive dynamical behavior of the DC MGs based on the theory of high-order fully actuated systems, and proposes distributed optimal control based on this. The proposed secondary control method can achieve the two goals of voltage recovery and current sharing for multi-bus DC MGs. Additionally, the simple structure of the proposed approach is similar to one based on droop control, which allows this control technique to be easily implemented in a variety of modern microgrids with different configurations. In contrast to existing studies, the process of controller design in this paper is closely tied to the actual dynamics of the MGs. It is a prominent feature that enables engineers to customize the performance metrics of the system. In addition, the analysis of the stability of the closed-loop DC microgrid system, as well as the optimality and consensus of current sharing are given. Finally, a scaled-down solar and battery-based microgrid prototype with maximum power point tracking controller is developed in the laboratory to experimentally test the efficacy of the proposed control method.

关键词： DC microgrids distributed control high-order fully actuated system approach linear quadratic regulator microgrid modeling secondary control

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Feature Layer Fusion of Linear Features and Empirical Mode Decomposition of Human EMG Signal

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Journal of Electronic science and technology 2022年第3期20卷 257-269页

作者： Jun-Yao Wang Yue-Hong Dai Xia-Xi Si the School of Aeronautics and Astronautics University of Electronic Science and Technology of ChinaChengdu611731China the Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province University of Electronic Science and Technology of ChinaChengdu611731China

To explore the influence of the fusion of different features on recognition,this paper took the electromyography(EMG)signals of rectus femoris under different motions(walk,step,ramp,squat,and sitting)as samples,linear features(time-domain features(variance(VAR)and root mean square(RMS)),frequency-domain features(mean frequency(MF)and mean power frequency(MPF)),and nonlinear features(empirical mode decomposition(EMD))of the samples were *** feature fusion algorithms,the series splicing method and complex vector method,were designed,which were verified by a double hidden layer(BP)error back propagation neural *** show that with the increase of the types and complexity of feature fusions,the recognition rate of the EMG signal to actions is gradually *** the EMG signal is used in the series splicing method,the recognition rate of time-domain+frequency-domain+empirical mode decomposition(TD+FD+EMD)splicing is the highest,and the average recognition rate is 92.32%.And this rate is raised to 96.1%by using the complex vector method,and the variance of the BP system is also reduced.

关键词： Complex vector method electromyography(EMG)signal empirical mode decomposition feature layer fusion series splicing method

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Recent Patents for control Devices of Fluid Pressure

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Recent Patents on Engineering 2022年第3期16卷 13-53页

作者： Xie, Baocheng Wang, Yi Li, Chaoxiang Zhang, Hanyang Zhang, Yongxing Su, Haobin Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin150080 China Beijing Institute of Control Engineering Beijing200085 China

Fluid pressure, an important parameter of fluid flow, affects the control accuracy and stability of fluid transmission. The control devices of fluid pressure are widely applied to the mechanical transmission control, which is the main means to change the fluid pressure and improve control accuracy and stability in the mechanical transmission system. To control the accuracy and stability of the fluid transmission, the pressure control device is divided into pressure reduction devices, pressurization devices, and stabilizing pressure devices. The characteristics of pressure control devices with different functions are analyzed from the structure of the device. Thus, more and more attention has been paid to the control devices of fluid pressure. To meet the increasing requirement of control accuracy and stability of fluid transmission, the control devices of fluid pressure, such as pressure reduction devices, pressurization devices, and stabilizing pressure devices, are being improved continuously. This paper reviews various current representative patents related to pressure reduction devices, pressurization devices, and stabilizing pressure devices of fluid pressure. By investigating various patents on the control devices of fluid pressure, the main current existing problems of the pressure control devices, such as low control accuracy and poor stability, are summarized and analyzed. Furthermore, the development trend of the control devices of fluid pressure has also been discussed. The optimization of the structure and function of the control devices of fluid pressure is conducive to improve the control accuracy and stability of transmission of the fluid. More relevant patents will be invented in the future. © 2022 Bentham science Publishers.

关键词： Stability

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Design and Experimental Validation of a Worm-Like Tensegrity Robot for In-Pipe Locomotion

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Journal of Bionic Engineering 2023年第2期20卷 515-529页

作者： Xiaolin Dai Yixiang Liu Wei Wang Rui Song Yibin Li Jie Zhao School of Control Science and Engineering Shandong UniversityJinan250061China Engineering Research Center of Intelligent Unmanned System of Ministry of Education Jinan250061China Shandong Research Institute of Industrial Technology Jinan250061China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin150080China

Traditional rigid-body in-pipe robots usually have complex and heavy structures with limited flexibility and *** soft in-pipe robots have great improvements in flexibility,they still have manufacturing difficulties due to their reliance on high-performance soft *** structure is a kind of self-stressed spatial structure consisting discrete rigid struts connected by a continuous net of tensional flexible strings,which combines the advantages of both rigid structures and soft *** applying tensegrity structures into robotics,this paper proposes a novel worm-like tensegrity robot for moving inside ***,a robot module capable of body deformation is designed based on the concept of tensegrity and its deformation performance is ***,the optimal parameters of the module are obtained based on the tensegrity *** deformation ability of the tensegrity module is tested ***,the worm-like tensegrity robot that can crawl inside pipes is developed by connecting three modules in *** performance and load capacity are tested on the prototype of the worm-like tensegrity robot by experiments of moving in horizontal pipe,vertical pipe,and elbow *** results demonstrate the effectiveness of the proposed design and suggest that the robot has high compliance,mobility,and adaptability although with simple structure and low cost.

关键词： Bio-inspired robot Soft robot application Tensegrity structure Pipe crawling

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Ozone oxidation of 4H-SiC and flat-band voltage stability of SiC MOS capacitors

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Chinese Physics B 2022年第11期31卷 500-509页

作者： Zhi-Peng Yin Sheng-Sheng Wei Jiao Bai Wei-Wei Xie Zhao-Hui Liu Fu-Wen Qin De-Jun Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education School of Control Science and Engineering Faculty of Electronic Information and Electrical EngineeringDalian University of TechnologyDalian 116024China State Key Laboratory of Materials Modification by Laser Ionand Electron Beams(Ministry of Education)Dalian University of TechnologyDalian 116024China

We investigate the effect of ozone(O_(3))oxidation of silicon carbide(SiC)on the flat-band voltage(Vfb)stability of SiC metal–oxide–semiconductor(MOS)*** SiC MOS capacitors are produced by O_(3)oxidation,and their Vfbstability under frequency variation,temperature variation,and bias temperature stress are *** ion mass spectroscopy(SIMS),atomic force microscopy(AFM),and x-ray photoelectron spectroscopy(XPS)indicate that O_(3)oxidation can adjust the element distribution near SiC/SiO_(2)interface,improve SiC/SiO_(2)interface morphology,and inhibit the formation of near-interface defects,*** addition,we elaborate the underlying mechanism through which O_(3)oxidation improves the Vfbstability of SiC MOS capacitors by using the measurement results and O_(3)oxidation kinetics.

关键词： SiC MOS capacitors ozone oxidation bias temperature instability Deal-Grove model

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Multi-OP: A Multilevel Model for Orbital Prediction Using Multi-Feature Fusion 13

Multi-OP: A Multilevel Model for Orbital Prediction Using Mu...

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13th International Conference on intelligent control and Information Processing, ICICIP 2025

作者： Chu, Qinghao Wang, Zhelong Jiang, Yu Hou, Pengrong Zhang, Pinliang School of Control Science and Engineering Dalian University of Technology Dalian China State Key Laboratory of Astronautic Dynamics Xi’an Satellite Control Center Xi’an China Beijing Institute of Spacecraft Environment Engineering China Academy of Space Technology Beijing China

ISBN: (纸本)9798331516147

To address the increasing computational demands and the need for enhanced stability in the orbit prediction of large-scale resident space objects (RSOs), this paper proposes a novel method grounded in orbital dynamics, which defines and computes environmental, dynamical, and fingerprint features. A feature fusion strategy is then applied to introduce a Multi-OP model comprising a shared backbone and a prediction layer tailored for orbit prediction tasks. Specifically, the shared backbone integrates environmental and dynamical features to capture public information, thereby enhancing the model’s generalization ability. The prediction layer, in contrast, leverages fingerprint features to generate individualized orbit predictions for each RSO. Experimental results demonstrate that the Multi-OP model not only enhances the accuracy of orbit prediction but also exhibits remarkable stability. © 2025 IEEE.

关键词： Prediction models

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Research Progress and Prospect of High-Speed Vehicle control technology Based on Reinforcement Learning

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Advances in Astronautics 2025年 1-9页

作者： Lu, Kunfeng Wang, Weili Liu, Xiaodong Huang, Wanwei Jia, Chenhui Yu, Yue Beijing Aerospace Automatic Control Institute Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing China

High reliability and intelligence mark the cutting-edge development trend of high-speed vehicle control technology. This research focuses on the progress of high-speed vehicle control technology based on reinforcement learning, and sorts out its application in control parameter tuning, compensation control, and end-to-end control. Focusing on the development framework of intelligent control safety and efficiency, this paper deeply analyzes the challenges of safety, training efficiency, and interpretability faced by high-speed vehicle in reinforcement learning control, and proposes feasible paths and development directions for future research.

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Online Model Construction of RFA Based on a Consensus Protocol 7th

Online Model Construction of RFA Based on a Consensus Pro...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Guo, Han Zhang, Xiufeng Yang, Chunxi Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650504 China Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming China

ISBN: (纸本)9789819733354

In response to the challenges inherent in conventional rotorcraft UAVs, a reconfigurable flight array (RFA) has been introduced, which is designed with the ability to rapidly assemble different configurations to accommodate complex environments. However, different configurations entail distinct control strategies. Hence, configuration recognition is a vital prerequisite for achieving stable flight. This paper analyzes the process of topology identification, configuration identification, and online modeling of an RFA, which establishes the foundational framework for the subsequently stable flight. By classifying modules into active modules and passive modules based on their behaviors, and the system’s topology structure can be identified. Furthermore, the configuration structure is analyzed, then the coordinate information of each module for the specific configuration is used for building the dynamic model of an RFA. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Dynamic models

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Asymptotic sampling behavior for a class of nonlinear robot systems in multirate case

Asymptotic sampling behavior for a class of nonlinear robot ...

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2024 China Automation Congress, CAC 2024

作者： Zeng, Cheng Chi, Nan School of Science GuiZhou Institute of Technology Guizhou GuiYang550000 China Special Key Laboratory of Artifificial Intelligence and Intelligent Control of Guizhou Province GuiYang Guizhou550000 China

ISBN: (纸本)9798350368604

The manuscript aims the stability of the two degree of freedom robot systems based on the corresponding discrete-time plant, which can generate from the sampling in the case of a new multirate input and hold. Furthermore, the asymptotic expression and stable conditions of discretization robot model and corresponding sampling zero dynamics are also desired. Moreover, the control strategy of the corresponding robot plant is acquired by using the sampling zero dynamic stable approach. © 2024 IEEE.

关键词： Microrobots

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