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3rd Asia Conference on Algorithms, Computing and Machine Learning, CACML 2024

作者： Zhang, Zirui Wu, Jiaheng Huang, Heqiang Chen, Junzhou Hu, Hongyu Zhang, Ronghui Guangdong Provincial Key Laboratory of Intelligent Transportation System School of Intelligent Systems Engineering Sun Yat-Sen Uniyersity Guangdong Guangzhou510275 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun Jilin Changchun130022 China

ISBN: (纸本)9798400716416

Traffic noise pollution is a significant source of urban pollution. Roadside noise barriers (RNBs) serve as a primary solution to urban traffic noise pollution, but achieving precise positioning of RNBs requires on-site inspections and manual labeling, which is time-consuming and labor-intensive. Deploying an RNB recognition algorithm on inspection vehicles equipped with cameras and positioning devices is an efficient approach to establishing a high-precision RNB positioning database. We propose a high-accuracy RNB recognition algorithm, RNBFormer. In the model design, we integrate both convolutional and transformer structures to enhance the model's global feature extraction capability while optimizing the representation of local features. Additionally, we incorporate a channel attention mechanism to provide more discriminative features at the channel level. We trained and tested our model on a publicly available dataset, achieving a classification accuracy of 98.93%. © 2024 ACM.

关键词： Convolution

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A Weighting Factors Autotuning Strategy for Model Predictive Torque control of Permanent Magnet Synchronous Motor Based on Adaptive Multi-Objective Black Hole Algorithm 42

A Weighting Factors Autotuning Strategy for Model Predictive...

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42nd Chinese control Conference, CCC 2023

作者： Zhou, Zixiang Wu, Tao School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China System Integration and Industrial Robotics Laboratory Wuhan430074 China

ISBN: (纸本)9789887581543

The rational design of weighting factors in the cost function for finite control set model predictive torque control (FCS-MPTC) has been a matter of great interest in power electronics and electrical drives. In order to solve this problem, a weighting factors autotuning strategy for FCS-MPTC of permanent magnet synchronous motor (PMSM) based on the adaptive multi-objective black hole algorithm (AMOBH) is proposed. In this paper, the design process of the FCS-MPTC algorithm is first analyzed in detail. Then, an AMOBH algorithm that can take into account both population convergence and population diversity is introduced, and based on this algorithm, the design problem of the weighting factors is successfully transformed into a multi-objective optimization problem by means of reconstructing the cost function and designing the motor operation information collected in real time as the objective functions of the multi-objective optimization algorithm. Simulation results show that the proposed method can find a set of weighting factor combinations suitable for different working condition requirements, and these weighting factors can effectively improve the operation performance of the PMSM system. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Cost functions

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Temperature Rising Model of Tubular Permanent Magnet Linear Synchronous Motor Based on Transfer Learning-Deep Neural Network 42

Temperature Rising Model of Tubular Permanent Magnet Linear ...

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42nd Chinese control Conference, CCC 2023

作者： Wang, YiFei Wu, Tao School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China System Integration and Industrial Robotics Laboratory Wuhan430074 China

ISBN: (纸本)9789887581543

High temperature rise of permanent magnet linear synchronous motor can lead to irreversible demagnetization of the motor permanent magnet, which can negatively affect the motor performance. To address this problem, a thermal modeling analysis method based on Transfer learning-Deep neural network (TL-DNN) was proposed in this paper. Its specific implementation steps include (1) corresponding to different heat source inputs, the equivalent thermal circuit method and the finite element analysis was adopted based on the structure and main parameters of PMLSM including overall average temperature rise, coil temperature rise and permanent magnet temperature rise from the data sets of the motor;(2) TL-DNN was used to fit the functional relationship between the input source features and the output targets based on the characteristics of the sample data sets. In order to verify the accuracy of the prediction model with small sample data sets, this paper divided the proportion of the data set and compared the results with other classic nonparametric models (random forest, support vector machine, and deep neural network). The results show that the TL-DNN model outperforms other machine learning models and has better robustness and generalization ability when the training datasets are insufficient, and achieves an organic combination of physical field path model and data-driven model, which provides a feasible solution for PMLSM modeling in the case of small samples. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Finite element method

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A Data Storage Method of intelligent Substation Based on Physical Model

A Data Storage Method of Intelligent Substation Based on Phy...

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2023 International Conference on Power Energy systems and Applications, ICoPESA 2023

作者： Liu, Shidan Tan, Qian Suo, Jianglei Chen, Xiaowa Jiao, Shaolin Wang, Feng Li, Yiquan Gu, Qianshuo Power Dispatching Control Center Guangdong Power Guangzhou China Shangdong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9798350345605

In view of the sharp increase in the amount of data in intelligent substations at present, the gap between the data transmission mode and the data storage mode is large, resulting in the problem of low data storage efficiency. This paper presents a data storage method of intelligent substation based on physical model. Firstly, this paper analyzes the data transmission mode of IEC 61850, introduces the object-oriented modeling technology of IEC 61850, the relationship between various configuration files, and the tree structure of the transmitted data. Then, this paper introduces the concept, structure and characteristics of the physical model. Build a physical model of the device based on the CID (Configured IED Description) file of the device, and form a device self-describing JSON file. After then, according to the characteristics of each service in the physical model, this paper uses different types of databases to store the data under this service. Finally, this paper develops and applies the method, and completes the back-to-back data storage model of a substation equipment. The experimental results show that the functional requirements and performance indicators of the developed substation data storage method can achieve the desired goals and effectively improve the efficiency of data storage. © 2023 IEEE.

关键词： Storage efficiency

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Tracking performance limitations of networked control systems with packet dropouts and logarithmic quantization 41

Tracking performance limitations of networked control system...

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第41届中国控制会议

作者： Jianhao Li Xiaowei Jiang Hao Chen Shaoying Wang Xianhe Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System College of Science Binzhou University School of Electrical Engineering and Automation Hubei Normal University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on the tracking performance(TP) limitations of networked control systems(NCS s).The control system considered is a multi-input and multi-output(MIMO) discrete-time network control system with time delay,channel noise,packet dropouts,and logarithmic quantization communication *** modeling the channel,we assumed the channel noise to be additive white Gaussian noise(AWGN) and used a binary random process to model packet dropouts and a logarithmic quantizer to model the quantization *** explicit expression of the TP limitations of NCSs utilizing the two-degree-of-freedom(TDOF) controller is then derived using the frequency-domain approach,coprime decomposition,and Youla parameterization *** results show that the essential characteristics of the plant(locations and directions of nonminimum phase zeros and unstable poles) and network constraints(time delay,packet dropouts,quantization,and noise power spectral density) are closely related to the TP limitations.

关键词： Networked control systems tracking performance limitations packet dropouts logarithmic quantization

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Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability

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Journal of Modern Power systems and Clean Energy 2022年第4期10卷 894-901页

作者： Weilun Wang Mingqiang Wang Xueshan Han Ming Yang Qiuwei Wu Ran Li Key Laboratory of Power System Intelligent Dispatch and Control Ministry of EducationShandong UniversityJinan 250002China Department of Electrical Engineering Technical University of DenmarkRegion HovedstadenDenmark

The outage of power system equipment is one of the most important factors that affect the reliability and economy of power *** is crucial to consider the influence of contingencies elaborately in planning *** this paper,a distributionally robust transmission expansion planning model is proposed in which the uncertainty of contingency probability is *** uncertainty of contingency probability is described by uncertainty interval based on the outage rate of single *** epigraph reformulation and Benders decomposition are applied to solve the proposed ***,the feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system.

关键词： Benders decomposition distributionally robust equipment outage rate transmission expansion planning

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Multi-UAV Coverage Path Planning Method Based on Improved Particle Swarm Optimization

Multi-UAV Coverage Path Planning Method Based on Improved Pa...

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2024 China Automation Congress, CAC 2024

作者： Zhou, Yan Xiong, Yonghua School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9798350368604

The widespread application of unmanned aerial vehicle (UAV) has made the coverage path planning problem for multiple UAV systems a research hotspot. In this paper, we propose a multi-UAV solution to achieve complete coverage of multi-region. Based on this solution, we present an improved particle swarm optimization (PSO) algorithm that combines PSO algorithm, greedy strategy, and back-and-forth (BAF) algorithm. Its purpose is to plan the optimal paths for multi-UAV while achieving the shortest total distance and the highest UAV cooperation efficiency with the minimum number of UAVs, thereby enhancing the multi-UAV coverage cooperation and path optimization capabilities. Simulation results demonstrate the feasibility and superiority of this algorithm. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Dual-polarization Dual-mode Silicon 3dB Beam Splitter Based on Shallow Etched Multimode Interference Coupler 8

Dual-polarization Dual-mode Silicon 3dB Beam Splitter Based ...

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8th Optoelectronics Global Conference, OGC 2023

作者： Ma, Hong Ye, Mengyuan Liu, Jie Zeng, Duowei Chen, Yang China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation Wuhan430074 China

In this paper, we propose a dual polarization dual mode 3dB beam splitter. By utilizing the shallow etched multimode interference (MMI) coupler, the proposed device can handle TE0, TE1, TM0 and TM1 modes simultaneousl... 详细信息

ISBN: (纸本)9798350325324

关键词： Polarization

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Application of Digital Twin in Power Equipment Operation and Maintenance 17th

Application of Digital Twin in Power Equipment Operation and...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Zhang, Keqi Chen, Jing Liang, Zhenguang Du, Zongzhan Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Shandong Province Jinan250061 China

ISBN: (纸本)9789819903566

At present, with the increasing complexity of power system, the continuous upgrading of power equipment and the continuous improvement of power grid voltage level, the operation and maintenance of power equipment has attracted more and more attention, and the requirements for its accuracy, real-time and visualization are higher and higher. Digital twin is an emerging technology that can perceive, simulate and predict the physical world. It integrates multi-physical, multi-scale and multi-disciplinary attributes, has the characteristics of real-time interaction and closed-loop feedback, and can realize the interaction and integration of the physical world and the information world. Its emergence and development provide a new idea for solving the problem of power equipment operation and maintenance. Firstly, this paper introduces the concept and characteristics of digital twinning, summarizes the application status of digital twinning in power system, discusses the key technologies needed to realize digital twinning of power equipment, and analyzes the feasibility and technical bottleneck. Finally, the development of digital twin and its application prospect in power system are prospected. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Maintenance

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Topology Identification for Distribution systems Based on Bayesian Nonparametric Model and Gaussian Mixture Ensemble Kalman Filter 9

Topology Identification for Distribution Systems Based on Ba...

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

作者： Zhang, Tingting Zhang, Wen Shandong University School of Control Science and Engineering Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Jinan China

ISBN: (纸本)9798350309638

To ensure the secure and reliable operation of active distribution systems (ADSs), it is essential to efficiently and accurately identify their time-varying topology. This paper proposes an estimation-based topology identification (TI) method for ADSs considering topology changes. The TI problem is formulated by a forecasting-aided estimation model, which is depicted by a discrete-time switching state-space model. The topology change process is described by a Bayesian nonparametric model that allows TI with limited knowledge of topology libraries. Then the Gaussian mixture ensemble Kalman filter (GM-EnKF) is employed to carry out the TI, where the underlying probability density is approximated by using Gaussian mixture model. In this case, the proposed method become capable of handling the unavoidable non-Gaussian noises in realistic distribution systems. Test results on various ADSs validates the effectiveness of the proposed GM-EnKF-based TI method on accurate and efficient topology identification. © 2024 IEEE.

关键词： Topology

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