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4th International Conference on Information Science and Education, ICISE-IE 2023

作者： Zhang, Runfeng Tang, Yuxin Liu, Zhenzhong Sun, Yanfang Wu, Jianguo School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China School of Language and Culture Tianjin University of Technology Tianjin300384 China Tianjin Hanhailanfan Marine Technology Co. Ltd. Tianjin300457 China

ISBN: (纸本)9798350394610

As an advanced technology that integrates virtuality and reality, digital twin technology has shown a wide range of application prospects in various fields. This paper aims to explore the potential application of digital twin technology in the teaching of engineering drawing courses, to improve students' theoretical knowledge and practical ability. By combining digital twin technology with traditional engineering drawing teaching, students can carry out practical operations and simulations in a virtual environment to better understand and apply drawing concepts and principles. Besides, taking the assembly drawing of thread connection as an actual teaching case, the specific application of digital twin technology in theoretical and experimental teaching is explained, respectively. The results show that digital twin technology is conducive to improving students' interest in engineering drawing courses and training students' spatial imagination ability, which is of great significance to reforming drawing courses. © 2023 IEEE.

关键词： Teaching

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Optimal Parameters Setting of Wind Power for Frequency Regulation Based on Evaluation of Available Kinetic Energy

SSRN

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SSRN 2024年

作者： Zhang, Han Zhang, Feng Ding, Lei Salimu, Athuman Zhang, Gang State Key Laboratory Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan250061 China Yantai Research Institute of Harbin Engineering University Yantai264006 China

When a wind farm (WF) provides frequency support for the power grid, the frequency regulation parameters of wind turbine generators (WTGs) are normally set by the control of the rotor-side converter and generally decoupled from the time-varying available rotational kinetic energy (KE) in WTGs. Therefore, it may lead to a mismatch between the frequency regulation parameters and the frequency regulation ability of a WTG. In this paper, an optimal frequency regulation parameter setting method of wind power is proposed considering available KE evaluation of wind power, establishing the coupling relationship between frequency regulation parameters with available KE. Firstly, considering the spatiotemporal differences in wind speed within a WF, forecasting scenario-based evaluation method of the available KE for a WF is proposed. Secondly, a functional optimization model for equivalent wind power frequency regulation parameters is constructed and solved with numerical method to adapt to the time-varying available KE of wind power in the power grid. Then the frequency regulation parameters of the WF and WTG layers are set according to the energy-weight ratio. Finally, a case study is conducted to verify the proposed available KE evaluation method using forecasted wind speed scenarios and the effectiveness of the optimal frequency regulation parameter setting method using a two-area power system model. The results show that the energy evaluation method can effectively reduce evaluation error and the optimal frequency regulation parameter can improve the system frequency dynamic response, and prevent over-deceleration of WTG. © 2024, The Authors. All rights reserved.

关键词： Kinetic energy

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Fault-Tolerant control of Hybrid UAV Using Weighted control Allocation Scheme

Fault-Tolerant Control of Hybrid UAV Using Weighted Control ...

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American control Conference (ACC)

作者： Salman Ijaz Umair Javaid Ahmed Nasr Donglei Sun Members of Control System Laboratory and Key Laboratory of More-Electric Aircraft Zhejiang Province and University of Nottingham Ningbo China School of Robotics Ningbo University of Technology Zhejiang China Advanced Intelligent Manufacturing Research Group University of Nottingham Ningbo China

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

This study presents a methodology to enhance the operating safety of hybrid unmanned aerial vehicles by employing an active fault-tolerant control technique. The idea is to incorporate the weighted control allocation scheme with integral-sliding mode control law to attain accurate tracking performance while accounting for the impact of actuator faults and failures. One notable benefit of this methodology lies in its ability to attain tracking accuracy in all operational modes of hybrid UAVs through the careful creation of a suitable weighting matrix. The efficiency of the suggested system is demonstrated by numerical simulations conducted on a longitudinal model of an octoplane aircraft. The proposed controller demonstrates satisfactory performance both in nom-inal conditions and under faults occurring in the elevator and rotors 1, 2, 7, and 8 at 20s and 40s.

关键词： Smart agriculture Actuators Fault tolerance Accuracy Fault tolerant systems Spraying Autonomous aerial vehicles

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Maintenance Scheduling of Power Equipment Considering Opportunistic Maintenance Strategy

Maintenance Scheduling of Power Equipment Considering Opport...

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作者： Bo Xu Yumin Zhang Kongming Sun State Grid Energy Research Institute Co. Ltd. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University State Grid Shandong Electric Power Research Institute

This paper investigates the impact of opportunistic maintenance strategy on power equipment maintenance scheduling under economic *** model focuses on power equipment with two types of failures:random failure and deterioration *** previous research which didn't consider opportunistic maintenance between different failures modes,opportunistic maintenance strategy is proposed in this *** the opportunistic maintenance strategy,whenever random failure occurs,decision has to be made on whether deterioration failure is preventively maintained based on the degree of equipment deterioration and economic ***,Markov process is used to describe equipment state-space *** then,in order to determine the optimal inspection rate,preventive maintenance threshold and opportunistic maintenance threshold of power equipment,the analytical expressions of inspection cost,maintenance cost,repair cost and outage cost are ***,the total cost is minimized to get the optimal maintenance *** studies demonstrate the feasibility of the proposed model.

关键词： Maintenance Scheduling of Power Equipment Considering Opportunistic Maintenance Strategy

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Exact Noise-Robust Distributed Gradient-Tracking Algorithm for Constraint-Coupled Resource Allocation Problems

Exact Noise-Robust Distributed Gradient-Tracking Algorithm f...

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IEEE Conference on Decision and control

作者： Wenwen Wu Shanying Zhu Shuai Liu Xinping Guan Department of Automation Shanghai Jiao Tong University Shanghai China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China School of Control Science and Engineering Shandong University Jinan China

The Industrial Internet of Things (1IoT) gradually becomes a new paradigm for information exchange in the industrial production environment. To ensure the high reliability of IloT services, an efficient resource allocation method with good robustness is urgently needed under complex industrial environments. This paper considers the distributed constraint- coupled resource allocation problem with noisy information exchange over an undirected network, where each agent holds a private cost function and obtains the solution via only local communications. Communication noise poses a challenge to gradient-tracking based algorithm as the impact of noise will accumulate and its variance tends to infinity when the noise is persistent. Adopting noise-tracing scheme, we propose an exact noise-robust distributed gradient-tracking algorithm to achieve cost-optimal distribution of resources, which can avoid noise-accumulation in the tracking step. Moreover, noise suppression parameters are introduced to further attenuate the impact of noise. With diminishing suppression parameters, it is theoretically proved that the proposed algorithm is able to achieve exact convergence to the optimal solution. Finally, a numerical example is provided for verification.

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A Learner Model Integrating Cognitive and Metacognitive And Its Application on Scratch Programming Projects

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IFAC-PapersOnLine 2020年第5期53卷 644-649页

作者： Sifeng Jing Ying Tang Xiwei Liu Xiaoyan Gong The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Institute of Smart Education Systems Qingdao Academy of Intelligent Industries Qingdao 266044 China Department of Electrical and Computer Engineering Rowan University Glassboro NJ 08028 USA

learner’s cognitive and metacognitive are key personal profile for individualized teaching. To evaluate learner’s comprehensive characteristics, existing learner model were reviewed. Two challenges of constructing an accurate and comprehensive learner model integrating cognitive and metacognitive were summarized. A plan of constructing a comprehensive learner model was made based on analysis of existing massive online learning environment, sensor information technology and educational data-mining. As a case study, a method of how to map learning data onto learners’ cognitive and metacognitive was proposed based on an analysis of a number of pupils’ Scratch projects. Three mapping table were established. Pupil’s cognitive skill could be evaluated from technology shown from Scratch project, namely, data structure, algorithm, computational practices and overall evaluation. Content shown from Scratch project were used to infer pupil’s cognitive style. Meta-cognitive ability can be measured from computational practices and behavior in programming process.

关键词： learner model cognitive state metacognitive ability individualized teaching

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A Missing Data Imputation Method for Electricity Consumption Data Based on TCN-Attention with Mask Tokens

A Missing Data Imputation Method for Electricity Consumption...

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Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on

作者： Yifeng Mao Ming Yang Peng Li Zhujian Ou Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China State Grid Nantong Power Supply Company State Grid Jiangsu Electric Power CO. LTD Nantong China

With the popularization of smart meters, power companies can collect massive amounts of data from users for non-invasive load detection, electricity theft detection, etc. However, due to faults in smart meters and abnormal communication, the dataset often has missing values, making it difficult for data-driven methods to be widely applied. In this paper, we propose an unsupervised learning method based on TCN-Attention to fill in customers' electricity consumption data. Firstly, we extract electricity consumption features through TCN. In order to improve the feature extraction capability, we introduce a channel attention mechanism to TCN. The attention mechanism makes TCN focus on the effective features in the data by assigning weights. Meanwhile, we use mask tokens to cover a certain proportion of data, forcing the proposed model to learn potential feature representations of the data during the training process. Finally, the features are restored to data through feedforward neural networks. An example is given to verify the effectiveness of the proposed method.

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Robust control of Feeding Speed for Coal Mine Tunnel Drilling Machines 25

Robust Control of Feeding Speed for Coal Mine Tunnel Drillin...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Liu, Xiao Chen, Luefeng Wu, Min Cao, Weihua Lu, Chengda Pedrycz, Witold School of Automation China University of Geosciences Wuhan China School of Automation The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Department of Computer Engineering Sariyer Istanbul34396 Turkey

Changes in coal seam hardness cause fluctuations in the feed resistance at the drill bit during the drilling process, leading to unstable feeding speed. This paper proposes a robust dynamic output feedback controller to suppress disturbances caused by the variations in coal seam hardness in the feed system. Firstly, an unknown parameter measuring coal seam hardness is introduced, and an uncertain model of the feeding system is established based on the finite element model of the drill string. By designing weighted functions based on industrial field requirements and constructing a generalized plant, the controller achieves loop shaping, reducing the low-frequency impact of coal seam hardness variations on the feed system and suppressing the systems resonance peak. Simulation results demonstrate that the controller effectively suppresses parameter variations and external disturbances caused by changes in coal seam hardness, achieving stable control of the drilling speed. © 2024 IEEE.

关键词： Robust control

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Brillouin optical correlation domain analysis based on a phase-chaos laser

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Advanced Photonics Nexus 2024年第6期3卷 106-116页

作者： Lintao Niu Yahui Wang Jing Chen Haochen Huang Lijun Qiao Mingjiang Zhang Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control SystemMinistry of EducationTaiyuanChina Taiyuan University of Technology College of Physics and OptoelectronicsTaiyuanChina Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering TaiyuanChina

The physical mechanism of gain motivation is the main theoretical bottleneck that restricts the signal-to-noise ratio(SNR)and results in a mono-merit implementation for the existing stimulated Brillouin scattering-based fiber sensors.A phase-chaos laser(PCL)is proposed and introduced in the Brillouin optical correlation domain analysis(BOCDA)scheme to promote the SNR and achieve a high-accuracy *** PCL characteristics are presented,and a theoretical model of chaos gain accumulation and extraction is ***,the simulation results reveal that the SNR is improved by 5.56 dB,and the signal-to-background noise ratio(SBR)of the Brillouin gain spectrum(BGS)is promoted by 8.28 dB with a 100-km sensing ***,the PCL is experimentally *** the proof-of-concept experiment,the accuracy of the Brillouin frequency shift is upgraded to 0.64 MHz,and the SBR of BGS is improved by 10.77 *** PCL provides a new research direction for optical chaos,and the PCL-BOCDA showcases a promising future for optimal-merit-coupling sensing and its application.

关键词： phase-chaos laser distributed fiber sensing stimulated Brillouin scattering high signal-to-noise ratio

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Tightly-Coupled Lidar-Visual-Inertial Odometry and Mapping in Real Time

Tightly-Coupled Lidar-Visual-Inertial Odometry and Mapping i...

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Chinese control Conference (CCC)

作者： Wenyu Ma Bailing Tian Hanchen Lu Hongming Shen School of Electrical and Information Engineering Tianjin University Tianjin P. R. China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineering Institute Beijing P. R. China

We proposed a tightly-coupled Lidar-visual-inertial odometry and mapping method, which takes advantage of measurement of Lidar, visual and inertial sensors to achieve highly accurate, real-time 6DoF state estimation and map-building in GNSS-denied environments. The proposed odometry is a tightly-coupled optimization-based method, obtains robust and low drift odometry by fusing pre-integrated IMU measurements, visual features from the image, and geometric features from Lidar data. Further, we adapt an online method to mitigate degeneracy in optimization problems to improve robustness in environmentally degenerate cases. Simulation and real-world experiments show that the proposed method exhibits similar or better robustness and accuracy with the state-of-the-art SLAM methods.

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