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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Huo, Zhihao Yang, Xiaoyu Yang, Tao Fan, Huijin Su, Housheng Zheng, Ying School of Artificial Intelligence and Automation Huazhong University of Science and Technology China-Belt and Road Joint Laboratory On Measurement and Control Technology Wuhan430074 China School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan430074 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

Due to the powerful classification performance, Prototypical Networks is widely used in few-shot fault diagnosis. However, insufficient feature extraction ability and negligence of inter-class distance in the Prototypical Networks may lead to the decrease of diagnosis accuracy. To solve the above problems, a Prototypical Networks-based multi-task model (PNBMTM) is proposed in this paper. Firstly, a convolutional autoencoder is built based on the feature extraction network of the Prototypical Networks, in which the optimization of the reconstruction loss is taken as a new task to obtain more efficient features. Secondly, a channel attention module (CAM) is designed to be applied to each layer of the encoder, which focuses on important features and suppresses useless features. Thirdly, relative distance loss is introduced while considering the effect of intra-class distance and inter-class distance to make inter-class distance larger and intra-class distance smaller, which helps to improve the quality of the features. And the optimization of relative distance loss is consequently taken as a new task to constitute a multi-task fault diagnosis model. Finally, a mechanical fault simulation experiment platform is built to verify the validity of the proposed model. The experimental results show that the proposed model has superior performance compared with other models. © 2022 IEEE.

关键词： Failure analysis

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Multipath-Based SLAM with DOA Ambiguity

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IEEE Transactions on Vehicular technology 2025年

作者： Zhai, Shiyu Fan, Jiancun Gao, Jiawei Xie, Kai Xi'an Jiaotong University School of Information and Communications Engineering Shaanxi Xi'an710049 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100191 China

Multipath-based simultaneous localization and mapping (SLAM) relies on high-resolution direction of arrival (DOA) estimates to achieve excellent performance. Expanding antenna element spacing is a common strategy to improve DOA resolution. However, excessively large spacing can cause signals from different directions to become indistinguishable, leading to DOA ambiguity. Traditional methods typically address DOA ambiguity through antenna array relocation or the use of multiple arrays. In multipath-based SLAM, however, the movement of the mobile agent naturally facilitates the movement of the receiver's array, allowing the use of high-resolution yet ambiguous DOA estimates. In this paper, we propose a splitting state transition model to handle DOA ambiguity and a novel amplitude measurement model to handle the high nonlinearity it introduces. Integrating these models within an existing Bayesian framework, we develop a message passing algorithm. Simulations demonstrate that the proposed method improves positioning and mapping performance, while exhibiting enhanced robustness against divergence. © 2025 IEEE.

关键词： Mapping

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Frequency Domain Separation of DAS Multi-Source Aliased Signals

Frequency Domain Separation of DAS Multi-Source Aliased Sign...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Gu, Huaxin Liu, Shuaiqi Yu, Feihong Xu, Deyu Chen, Xingwei Shao, Liyang Wu, Yu Zhang, Haifeng College of Innovation and Entrepreneurship Southern University of Science and Technology Shenzhen China Southern University of Science and Technology Department of Electrical and Electronic Engineering Shenzhen China School of Information and Communication Engineering University of Electronic Science and Technology Chengdu China Research Institute of Tsinghua University Advanced Measurement and Control and Equipment R&d Center Chengdu China

ISBN: (纸本)9798350312614

In this paper, fast independent vector analysis (FastIVA) based on convolutional aliasing model is proposed to separate the aliased signals collected by distributed acoustic sensing (DAS) system, and the time-frequency entropy is used to judge the separation performance. The results show that the time-frequency entropy interval of the separated signals and the source signals correspond to each other, which means that the aliased signals are separated. This method is used to improve the accuracy of DAS system signal detection and recognition in complex real environment, and reduce the number of false alarm events. © 2023 IEEE.

关键词： convolutional aliasing model DAS FastIVA time-frequency entropy

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Adaptive Sliding-Mode Fault Tolerant control for Delayed Nonlinear Systems with Actuator Fault 7

Adaptive Sliding-Mode Fault Tolerant Control for Delayed Non...

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7th International Conference on control Science and Systems engineering, ICCSSE 2021

作者： Zhang, Hongxu Hu, Jun Yu, Xiaoyang Chen, Dongyan Harbin University of Science and Technology School of Measurement Control Technology Communication Engineering Department of Mathematics Harbin China Harbin University of Science and Technology Department of Mathematics Harbin China Harbin University of Science and Technology School of Measurement Control Technology Communication Engineering Harbin China

ISBN: (纸本)9781665444057

This paper focuses on the sliding mode fault-tolerant control (SMFTC) problem for a class of delayed nonlinear systems in presence of actuator fault and nonlinear input. Firstly, the augmented strategy involving system state, actuator fault and external disturbance is constructed, and then the fault-tolerant observer is designed accordingly. An SMFTC law ensuring the asymptotical stability of the reduce-order estimation error is provided subsequently. To further illustrate the system performance, a new sliding function with respect to decomposed signal is constructed and the asymptotically stability of sliding motion is analyzed. Moreover, a novel adaptive-based sliding mode controller is presented to steer the system state onto the sliding manifold. Finally, a verification example is considered to demonstrate the usefulness of the proposed SMFTC approach. © 2021 IEEE.

关键词： Sliding mode control

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Temperature and strain sensitivities of surface and hybrid acoustic wave Brillouin scattering in optical microfibers

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Chinese Physics B 2022年第9期31卷 333-339页

作者： Yi Liu Yuanqi Gu Yu Ning Pengfei Chen Yao Yao Yajun You Wenjun He Xiujian Chou Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control SystemMinistry of Education and Shanxi ProvinceTaiyuan 030024China Taiyuan University of Technology Institute of Optoelectronic EngineeringCollege of Physics and OptoelectronicsTaiyuan 030024China Strong Digital Technology Co. Ltd.(Thinvent)Nanchang 410000China North University of China Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of EducationTaiyuan 030051China North University of China College of Mechatronics EngineeringTaiyuan 030051China North University of China Science and Technology on Electronic Test and Measurement LaboratorySchool of Instrument and ElectronicsTaiyuan 030051China

Temperature and strain sensitivities of surface acoustic wave(SAW)and hybrid acoustic wave(HAW)Brillouin scat-tering(BS)in 1μm-1.3μm diameter optical microfibers are *** contrast to stimulated Brillouin scattering(SBS)from bulk acoustic wave in standard optical fiber,SAW and HAW BS,due to SAWs and HAWs induced by the coupling of longitudinal and shear waves and propagating along the surface and core of microfiber respectively,facilitate innovative detection in optical microfibers *** highest temperature and strain sensitivities of the hybrid acoustic modes(HAMs)are 1.082 MHz/℃and 0.0289 MHz/με,respectively,which is suitable for microfiber sensing applica-tion of high temperature and strain ***,the temperature and strain sensitivities of the SAMs are less affected by fiber diameter changes,ranging from 0.05 MHz/℃/μm to 0.25 MHz/℃/μm and 1×10^(-4) MHz/με/μm to 5×10^(-4) MHz/με/μm,*** can be found that that SAW BS for temperature and strain sensing would put less stress on manufacturing constraints for optical ***,the simultaneous sensing of temperature and strain can be realized by SAW and HAW BS,with temperature and strain errors as low as 0.30℃-0.34℃and 14.47με-16.25με.

关键词： Brllouin scatering surface acoustic waves hybrid acoustic waves optical microfiber sensing

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Calculation and Simulation Analysis of Current Carrying Capacity and Thermal Effect of 500kV Tunnel Cable 6

Calculation and Simulation Analysis of Current Carrying Capa...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Liang, Ruipeng Huang, Qi Bamisile, Olusola Li, Jian Zhang, Zhenyuan Cai, Dongsheng Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu China University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control Chengdu China

ISBN: (纸本)9798350347159

The Qinghai-Tibet Plateau contains the most abundant clean energy such as hydropower, wind and solar in the world. However, it is very difficult to add overhead transmission lines on the ground due to the complex geographical environment. The large-capacity tunnel cables which is less affected by the earth surface environment, may play an important role on the energy transmission in such area. Based on the cable thermal circuit model, the electrical-magnetic-thermal multiphysics coupling of the cable is modeled in COMSOL Multiphysics. The parameter changes of the material during the temperature rising process, the influence of different ventilation conditions and different current-carrying capacities on the changes of the cable temperature field are quantitatively analyzed. The results show that the proposed model is valid in certain conditions. The research on the current carrying capacity and thermal effect of tunnel cables is of great significance for the transportation and consumption of large-scale clean energy resources. © 2022 IEEE.

关键词： Cables

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Sensorless PMSM control Algorithm for Rim-Driven Thruster Based on Second-order Sliding Mode Observer 7

Sensorless PMSM Control Algorithm for Rim-Driven Thruster Ba...

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7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023

作者： Yang, Zhi Yan, Xinping Ouyang, Wu Bai, Hongfen Ning, Changxiong Wuhan University of Technology School of Transportation and Logistics Engineering Wuhan China Wuhan University of Technology State Key Laboratory of Maritime Technology and Safety Wuhan China Wuhan University of Technology National Engineering Research Center for Water Transport Safety Wuhan China National Engineering Research Center for Water Transport Safety Wuhan China Ministry of Communications Shanghai Maritime University Key Laboratory of Marine Technology and Control Engineering Shanghai China Wuhan University of Technology School of Naval Architecture Ocean and Energy Power Engineering Wuhan China

ISBN: (纸本)9798350308532

In order to solve the problem of poor speed and position observation performance of the Permanent Magnet Synchronous Motor (PMSM) of rim-driven thruster (RDT), a second-order sliding mode observer based on super-twisting algorithm (STA) is presented. The new algorithm to external interference of and effectively weakens the 'chattering' phenomenon. The new algorithm can effectively suppress the sliding mode chattering and retains the advantages of traditional sliding mode observer algorithm such as strong robustness and insensitivity. The simulation results show that the speed and position error and chattering of the proposed second-order sliding mode observer are reduced compared with traditional SMO. © 2023 IEEE.

关键词： Permanent magnets

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A Hierarchical Optimization-Based Model for Microgrids with Energy Storage Considering Operation Cost and Net Load Mean Square Error 6

A Hierarchical Optimization-Based Model for Microgrids with ...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Guan, Zexiang Cai, Dongsheng Bamisile, Olusola Li, Jian Zhang, Zhenyuan Huang, Qi Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu China University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control Chengdu China

ISBN: (纸本)9798350347159

When a high proportion of renewable energy is connected to the grid, the net load fluctuation can be suppressed by configuring energy storage. However, the current cost of energy storage is high. This paper proposes a bi-level optimization model that takes into account the dynamic allocation of shared energy storage (SES) capacity in response to electric load demand. The upper-layer objective function adopts EO optimization algorithm, which is to maximize the income of the shared energy storage operator (SESO). The lower-layer multi-objective function is to minimize the sum of the operating cost and the net load mean square error of multiple microgrids, which can be classified as the mixed integer linear programming problem. Then, the solution flow of the algorithm is given. Finally, under the constraints of the hierarchical optimization-based model, solving the problem by the CPLEX solver on the MATLAB platform. The results demonstrate that the proposed method can allocate optimal capacity and reduce operating costs for microgrids. Simultaneously, this method increases the revenue of SESO and promotes the consumption of renewable energy. © 2022 IEEE.

关键词： Mean square error

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Optimization of Low-carbon Dispatching for Microgrid Based on Improved Particle Swarm Optimization 6

Optimization of Low-carbon Dispatching for Microgrid Based o...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Yang, Huan Cai, Dongsheng Bamisile, Olusola Li, Jian Zhang, Zhenyuan Huang, Qi Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu China University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control Chengdu China

ISBN: (纸本)9798350347159

In the context of carbon neutrality, the power industry is becoming the main battlefield of carbon emission reduction. However, the low-carbon transformation of energy structure is a complex long-term task, it needs to be analyzed in combination with the actual situation. This paper is based on the microgrid in the grid connection mode, considering microgrid power output and carbon emission constraints. An optimal model is proposed to reduce carbon emission cost, the optimal economic operation, and build a low-carbon scheduling model of a microgrid system. In this paper, the improved multi-objective particle swarm optimization algorithm is used to solve the problem. Finally, the simulation results verify the effectiveness of the model and the superiority of the improved algorithm. © 2022 IEEE.

关键词： Emission control

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Bayesian Framework for Multi-User Cooperative Radio SLAM 35

Bayesian Framework for Multi-User Cooperative Radio SLAM

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35th IEEE International Symposium on Personal, Indoor and Mobile Radio communications, PIMRC 2024

作者： Que, Hang Yang, Jie Du, Tao Xia, Shuqiang Wen, Chao-Kai Jin, Shi Southeast University National Mobile Communications Research Laboratory Nanjing211189 China Southeast University Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Zte Corporation Shenzhen518001 China State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518001 China Institute of Communications Engineering National Sun Yat-sen University Kaohsiung804 Taiwan

ISBN: (纸本)9798350362244

The advancement of millimeter-wave communication technology heralds new sensing capabilities. By leveraging channel multipath parameter estimates, we can harness simultaneous localization and mapping (SLAM) for precise user equipment (UE) localization and radio map construction in 6 G communication systems. Particularly in multi-UE scenarios, SLAM empowers base stations to amalgamate the local radio maps of various UEs efficiently. This study introduces a novel Bayesian framework specifically designed for multi-UE SLAM, complemented by a tailored factor graph. We also unveil a two-stage multi-UE SLAM algorithm. Our simulation results reveal that this algorithm substantially enhances radio map construction accuracy by 4 8. 5 % and UE localization accuracy by 13.5 %, outperforming single-UE cases. Moreover, the algorithm demonstrates remarkable adaptability to environmental changes, showcasing its potential for long-term evolution in dynamic settings. © 2024 IEEE.

关键词： Long Term Evolution (LTE)

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