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27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Liang, Yongtao Song, Zaixin Ma, Yidan Lang, Xiaoyu The Hong Kong Polytechnic University State Key Lab of Ultra-precision Machining Technology Department of Industrial and Systems Engineering Hong Kong School of Automation Science and Engineering Xi'an Jiaotong University Shaanxi Xi'an China

ISBN: (纸本)9784886864406

The development of wind power systems necessitates higher flexibility and power density requirements for wind turbines. This paper proposes a novel permanent magnet vernier machine (PMVM) designed for urban intelligent wind power systems. The PMVM features dual windings and dual permanent magnets (PMs). On one hand, it leverages the dual modulation effect to enhance torque/power density (44.4Nm/L). On the other hand, by regulating the secondary windings, it achieves flexible power generation with a converter capacity requirement of only approximately 30% of the full capacity. The fundamental performance of the proposed PMVM is validated through finite element analysis (FEA). The proposed PMVM holds promise as a solution for the further development and utilization of wind energy. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Permanent magnets

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Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning

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IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 47-63页

作者： Yongliang Yang Zihao Ding Rui Wang Hamidreza Modares Donald C.Wunsch Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education School of Automation&Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China School of Automation Beijng Institute TechnologyBeijing 100081China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Mechanical Engineering Department Michigan State UniversityEast LansingMI 48824 USA Department of Electrical&Computer Engineering Missouri University of Science&TechnologyRollaMO 65401 USA

In this paper,we present a novel data-driven design method for the human-robot interaction(HRI)system,where a given task is achieved by cooperation between the human and the *** presented HRI controller design is a two-level control design approach consisting of a task-oriented performance optimization design and a plant-oriented impedance controller *** task-oriented design minimizes the human effort and guarantees the perfect task tracking in the outer-loop,while the plant-oriented achieves the desired impedance from the human to the robot manipulator end-effector in the ***-driven reinforcement learning techniques are used for performance optimization in the outer-loop to assign the optimal impedance *** the inner-loop,a velocity-free filter is designed to avoid the requirement of end-effector velocity *** this basis,an adaptive controller is designed to achieve the desired impedance of the robot manipulator in the task *** simulation and experiment of a robot manipulator are conducted to verify the efficacy of the presented HRI design framework.

关键词： Adaptive impedance control data-driven method human-robot interaction(HRI) reinforcement learning velocity-free

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Digital Twin-Based Automated Fault Diagnosis in industrial IoT Applications

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Computers, Materials & Continua 2023年第4期75卷 183-196页

作者： Samah Alshathri Ezz El-Din Hemdan Walid El-Shafai Amged Sayed Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Computer Science Department Security Engineering LabPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Electrical Energy Engineering College of Engineering&TechnologyArab Academy for Science Technology&Maritime TransportSmart Village CampusEgypt

In recent years, Digital Twin (DT) has gained significant interestfrom academia and industry due to the advanced in information technology,communication systems, Artificial Intelligence (AI), Cloud Computing (CC),and industrial Internet of Things (IIoT). The main concept of the DT isto provide a comprehensive tangible, and operational explanation of anyelement, asset, or system. However, it is an extremely dynamic taxonomydeveloping in complexity during the life cycle that produces a massive amountof engendered data and information. Likewise, with the development of AI,digital twins can be redefined and could be a crucial approach to aid theInternet of Things (IoT)-based DT applications for transferring the data andvalue onto the Internet with better decision-making. Therefore, this paperintroduces an efficient DT-based fault diagnosis model based on machinelearning (ML) tools. In this framework, the DT model of the machine isconstructed by creating the simulation model. In the proposed framework,the Genetic algorithm (GA) is used for the optimization task to improvethe classification accuracy. Furthermore, we evaluate the proposed faultdiagnosis framework using performance metrics such as precision, accuracy,F-measure, and recall. The proposed framework is comprehensively examinedusing the triplex pump fault diagnosis. The experimental results demonstratedthat the hybrid GA-ML method gives outstanding results compared to MLmethods like LogisticRegression (LR), Na飗e Bayes (NB), and SupportVectorMachine (SVM). The suggested framework achieves the highest accuracyof 95% for the employed hybrid GA-SVM. The proposed framework willeffectively help industrial operators make an appropriate decision concerningthe fault analysis for IIoT applications in the context of Industry 4.0.

关键词： Automated fault diagnosis control system ML AI CC IIoT digital twins genetic algorithm GA-ML technique

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Towards resilient average consensus in multi-agent systems:a detection and compensation approach

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Frontiers of Information technology & Electronic engineering 2024年第2期25卷 182-196页

作者： Chongrong FANG Wenzhe ZHENG Zhiyu HE Jianping HE Chengcheng ZHAO Jingpei WANG Department of Automation Shanghai Jiao Tong UniversityShanghai200240China State Key Laboratory of Industrial Control Technology Zhejiang UniversityHangzhou310027China Technology and Engineering Center for Space Utilization Chinese Academy of SciencesBeijing100094China

Consensus is one of the fundamental distributed control technologies for collaboration in multi-agent systems such as collaborative handling in intelligent *** this paper,we study the problem of resilient average consensus for multi-agent systems with misbehaving *** protect consensus value from being influenced by misbehaving nodes,we address this problem by detecting misbehaviors,mitigating the corresponding adverse impact,and achieving the resilient average *** types of misbehaviors are considered,including attacks,accidental faults,and link *** characterize the adverse impact of misbehaving nodes in a distributed manner via two-hop communication information and develop a deterministic detection compensation based consensus(D-DCC)algorithm with a decaying fault-tolerant error *** scenarios wherein information sets are intermittently available due to link failures,a stochastic extension named stochastic detection compensation based consensus(S-DCC)algorithm is *** prove that D-DCC and S-DCC allow nodes to asymptotically achieve resilient accurate average consensus and unbiased resilient average consensus in a statistical sense,***,the Wasserstein distance is introduced to analyze the accuracy of ***,extensive simulations are conducted to verify the effectiveness of the proposed algorithms.

关键词： Resilient consensus Multi-agent systems Malicious attacks Detection Compensation

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Coupling effect of micro-textured tools and cooling conditions on the turning performance of aluminum alloy 6061

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Advances in Manufacturing 2023年第4期11卷 663-681页

作者： Guo-Liang Liu Jin-Tao Zheng Chuan-Zhen Huang Shu-Feng Sun Xin-Fu Liu Long-Jie Dai De-Xiang Wang Xiang-Yu Wang Key Lab of Industrial Fluid Energy Conservation and Pollution Control Ministry of EducationKey Lab of Industrial Fluid Energy Conservation and Pollution ControlMinistry of EducationSchool of Mechanical and Automotive EngineeringQingdao University of TechnologyQingdao266520ShandongPeople’s Republic of China State Key Laboratory of High Performance Complex Manufacturing Central South UniversityChangsha410083People’s Republic of China Key Laboratory of High-Efficiency and Clean Mechanical Manufacture(Ministry of Education) School of Mechanical EngineeringShandong UniversityJinan250061People’s Republic of China School of Mechanical Engineering Yanshan UniversityQinhuangdao066004HebeiPeople’s Republic of China Qingdao Choho Ind Co Ltd Qingdao266705ShandongPeople’s Republic of China School of Mechanical Engineering University of JinanJinan250022People’s Republic of China

Micro-texturing has been widely proven to be an effective technology for achieving sustainable ***,the performance of micro-textured tools under different cooling conditions,especially their coupling effect on machined surface integrity,was scarcely *** this paper,the non-textured,linear micro-grooved,and curvilinear micro-grooved inserts were used to turn aluminum alloy 6061 under dry,emulsion,and liquid nitrogen cryogenic cooling *** coupling effects of different micro-textures and cooling conditions on cutting force,cutting temperature,and machined surface integrity,including the surface roughness,work hardening,and residual stress,were revealed and discussed in *** indicated that the micro-grooved tools,especially the curvilinear micro-grooved tools,not only reduced the cutting force and cutting temperature,but also improved the machined surface *** addition,the micro-grooved tools can cooperate with the emulsion or liquid nitrogen to reduce the cutting force,cutting temperature,and improve the machined surface integrity generally,although the combination of emulsion cooling condition and micro-grooved tools generated negative coupling effects on cutting forces and surface work ***,the combination of curvilinear micro-grooved cutting tools and cryogenic cooling condition resulted in the lowest cutting force and cutting temperature,which generated the surface with low roughness,weak work hardening,and compressive residual stress.

关键词： Micro-grooved cutting tool Cooling condition Cutting force Cutting temperature Surface integrity

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Research on Transient control Performance Improvement of Complex control System in Nuclear Power Plant 1

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6th International Symposium on Software Reliability, industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, ISNPP 2021

作者： Luan, Zhen-hua Chen, Rui Liu, Dao-guang Yan, Xin-hong Liang, Jun State Key Lab of Industrial Control Technology College of Control Science and Engineering Zhejiang University Zhejiang Hangzhou310027 China State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment Guangdong Shenzhen518172 China Shandong Business College Shandong Yantai264003 China

ISBN: (数字)9789811911811

ISBN: (纸本)9789811911804

Aiming at the problem that the control performance of nuclear power unit after parameter optimization cannot meet the requirements of transient conditions. A standardized method to improve the transient control performance through logic optimization and operation optimization is proposed. This method consists of parameter optimization, control logic optimization, operating condition optimization and instrument/actuator optimization. It realizes the stable operation of nuclear power unit and the effective control of transient. The results of control system optimization of several nuclear power units show that this method can reduce the risk of transient operation of the control system, improve the operation quality of the unit, and obtain good economic and safety benefits. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Nuclear power plants

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Computing Challenges of UAV Networks: A Comprehensive Survey

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Computers, Materials & Continua 2024年第11期81卷 1999-2051页

作者： Altaf Hussain Shuaiyong Li Tariq Hussain Xianxuan Lin Farman Ali Ahmad Ali AlZubi School of Computer Science&Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Technology Zhejiang Gongshang UniversityHangzhou310018China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing210044China Department of Computer Science and Engineering School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063Republic of Korea Department of Computer Science Community CollegeKing Saud UniversityRiyadh11495Saudi Arabia

Devices and networks constantly upgrade,leading to rapid technological ***-dimensional(3D)point cloud transmission plays a crucial role in aerial computing terminology,facilitating information *** network types,including sensor networks and 5G mobile networks,support this ***,Flying Ad hoc Networks(FANETs)utilize Unmanned Aerial Vehicles(UAVs)as nodes,operating in a 3D environment with Six Degrees of Freedom(6DoF).This study comprehensively surveys UAV networks,focusing on models for Light Detection and Ranging(LiDAR)3D point cloud compression/*** topics covered include autonomous navigation,challenges in video streaming infrastructure,motivations for Quality of Experience(QoE)enhancement,and avenues for future ***,the paper conducts an extensive review of UAVs,encompassing current wireless technologies,applications across various sectors,routing protocols,design considerations,security measures,blockchain applications in UAVs,contributions to healthcare systems,and integration with the Internet of Things(IoT),Artificial Intelligence(AI),Machine Learning(ML),and Deep Learning(DL).Furthermore,the paper thoroughly discusses the core contributions of LiDAR 3D point clouds in UAV systems and their future prediction along with mobility *** also explores the prospects of UAV systems and presents state-of-the-art solutions.

关键词： Autonomous vehicles UAV systems UAV transmission UAV in healthcare future of UAV system security measures

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Direct laser writing breaking diffraction barrier based on two-focus parallel peripheralphotoinhibition lithography

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Advanced Photonics 2022年第5期4卷 56-63页

作者： Dazhao Zhu Liang Xu Chenliang Ding Zhenyao Yang Yiwei Qiu Chun Cao Hongyang He Jiawei Chen Mengbo Tang Lanxin Zhan Xiaoyi Zhang Qiuyuan Sun Chengpeng Ma Zhen Wei Wenjie Liu Xiang Fu Cuifang Kuang Haifeng Li Xu Liu Zhejiang Lab Research Center for Intelligent Chips and DevicesHangzhouChina Zhejiang University College of Optical Science and EngineeringState Key Laboratory of Modern Optical InstrumentationHangzhouChina Zhejiang University College of Control Science and EngineeringState Key Laboratory of Industrial Control TechnologyHangzhouChina Zhejiang Lab Research Center for Humanoid SensingZhejiang LabHangzhouChina

Direct laser writing(DLW)enables arbitrary three-dimensional ***,the diffraction limit poses a major obstacle for realizing nanometer-scale ***,it is challenging to improve the fabrication efficiency using the currently prevalent single-focal-spot systems,which cannot perform high-throughput *** overcome these challenges,a parallel peripheral-photoinhibition lithography system with a sub-40-nm two-dimensional feature size and a sub-20-nm suspended line width was developed in our study,based on two-photon polymerization *** lithography efficiency of the developed system is twice that of conventional systems for both uniform and complex *** proposed system facilitates the realization of portable DLW with a higher resolution and throughput.

关键词： optical fabrication parallel direct laser writing peripheral-photoinhibition diffraction barrier breaking

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Ignition of an ionic liquid dual-mode monopropellant using a microwave plasma torch

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Proceedings of the Combustion Institute 2023年第4期39卷 5063-5071页

作者： Tang, Yong Li, Shaolong Yao, Zhaopu Huang, Bangdou Li, Shuiqing Key laboratory for Thermal Science and Power Engineering of Ministry of Education Department of Energy and Power Engineering Tsinghua University Beijing100084 China Lab of Space Propulsion Technology Beijing Institute of Control Engineering Beijing100190 China Institute of Electrical Engineering Chinese Academy of Sciences Beijing100190 China School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China

The blend of hydroxylammonium nitrate (HAN) and imidazole-based ionic liquid has shown good feasibility in chemical and electric dual-mode green space propulsion. As conventional catalyst-driven ignition faces challenges arising from long preheat delay and catalyst failure, this work designs a novel ignition actuator using a microwave plasma torch. The precise tuning of the ¼-λ resonant cavity and improvement in the quality factor (QF) of the microwave igniter make the device efficient and thus allow the propellant to be ignited at a power of approximately 100 W. In the present reduced test rig, the maximum fuel flow rate corresponds to 0.1 N chemical thrusters, and the plasma-assisted ignition is mainly attributed to thermal and kinetic effects. The temperature of the actuator and the plasma torch is investigated by infrared thermometry and spectral fitting of excited molecule nitrogen, respectively. First, the hot electrode tube helps evaporate water molecules and accelerate the liquid jet through rapid gas expansion. Then, the ionic liquid quickly decomposes to small species when the flow reaches the torch with a nitrogen vibrational temperature above 4000 K and rotational temperature above 2000 K. Meanwhile, the nonequilibrium plasma-excited species enhance the combustion of gaseous intermediates by direct impact dissociation, where the OH radical profile is visualized using the planar laser-induced fluorescence technique. In addition, the copper atoms released by plasma erosion are expected to exhibit a significant catalytic effect on ionic liquid decomposition, which is a critical step in controlling the overall reaction rate. It is also noted that such mild erosion does not affect the multi-start operations during the firing test that lasts for at least 30 min. © 2022

关键词： Ionic liquids

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Efficient Design and Torque Prediction for Similar PMaSynRMs with a Generalized Attention Convolutional Network

Efficient Design and Torque Prediction for Similar PMaSynRMs...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Ma, Yidan Song, Zaixin Liang, Yongtao Cao, Jianfu The Hong Kong Polytechnic University State Key Lab Of Ultra-Precision Machining Technology Department Of Industrial And Systems Engineering Hong Kong Hong Kong Xi'an Jiaotong University School Of Automation Science And Engineering Xi'an China

ISBN: (纸本)9798331529277

Reducing computational load in the design optimization of similarly structured electric motors is crucial for industrial production. Recent advancements, particularly in data-driven surrogate models like neural networks, have shown significant potential in this area. This paper introduces a generalized attention convolutional network (GACN) for optimizing permanent magnet-assisted synchronous reluctance motors (PMaSynRMs) that vary in the number and shape of flux barrier layers. The network effectively identifies commonalities in the electromagnetics and flux barrier structures of similar PMaSynRMs within a high-dimensional feature space. Specifically, it utilizes ResNet34 as the backbone, enhanced with spatial and channel attention blocks for feature extraction, to discern motor structures independent of geometric interference. Additionally, the network incorporates a local maximum mean discrepancy block to measure data distribution similarities and adjust the nonlinear functions that correlate cross-sectional images with torque performance in similar motors. Experimental results demonstrate that, after training on a dataset of four-layer flux barrier PMaSynRM images, the proposed method accurately predicts torque and assesses geometric validity in PMaSynRMs with two- and three-layer barriers. © 2024 IEEE.

关键词： Permanent magnets

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