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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Wu, Chao Xu, Changqing Yang, Qingye Han, Pengcheng Wang, Yalei Peng, Xu Luoyang Institute of Science and Technology School of Electrical Engineering and Automation Luoyang China Southwest Jiaotong University Luoyang China Southwest Jiaotong University School of Electrical Engineering Chengdu China Civil Aviation Flight University of China Institute of Electronics and Electrical Engineering Chengdu China

ISBN: (纸本)9798350312201

China's electrified railway mileage ranks first in the world. As the energy heart of electrified railways, the overall performance of the traction power supply system directly affects the safety, stability, and economic operation of the railway. The through type traction power supply system, as a new type of traction power supply method, meets the new standards of the times for energy applications. In this paper, a through type traction power supply system is proposed, with single-phase voltage source inverters as the research object. A composite inverter grid connection control strategy with satellite timing and droop control as backup is proposed, which meets the grid connection standards while improving the reliability of the control strategy. Finally, the correctness of the control algorithm was verified through simulation and experiments. © 2023 IEEE.

关键词： Timing circuits

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Multi-Task Change Detection Network for Remote Sensing Images Based on Feature Symmetry Enhanced Fusion

Multi-Task Change Detection Network for Remote Sensing Image...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Mingheng Zhang Lei He Yuxia Li Zhonggui Tong Jinglin Zhang School of Software Engineering Chengdu University of Information Technology Chengdu China Sichuan Province Engineering Technology Research Center of Support Software of Informatization Application Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Detecting semantic changes in high-resolution aerial images is a challenging task in remote sensing technology. Previous change detection methods have encountered difficulties in detecting subtle changes and have faced problems such as overfitting of image time series and unclear boundaries of the generated change maps. This paper proposes SEFNet, a multi-task change detection network based on symmetric enhancement fusion, to address the aforementioned issues. SEFNet is built on a decoupled three-branch change detection network framework, which allows each branch module to perform more specialized functions, facilitating more targeted training. Additionally, this study introduces the Symmetry-enhanced Fusion Change Detection unit (SFCD) module to extract multi-level change information. To highlight subtle changes while incorporating shallow detailed features of the network, the SFCD method employs feature enhancement methods and feature reuse strategies. Additionally, the proposed symmetric fusion module reduces the network's sensitivity to image time. A multitask classifier is also utilized to generate semantic change detection maps. The method's effectiveness is demonstrated on the SECOND dataset, achieving the best results in the current state-of-the-art dataset.

关键词： Training Sensitivity Semantics Time series analysis Feature extraction Multitasking Sensors

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Fault-Tolerant Control Based on State Observer and Optimal Allocation for Four-Wheel Independent Drive Electric Vehicle 11

Fault-Tolerant Control Based on State Observer and Optimal A...

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

作者： Li, Fengyang Chen, Yong Tang, Hui School of Automation Engineering Institute of Electric Vehicle Driving System and Safety Technology University of Electronic Science and Technology of China Chengdu611730 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

In this paper, the velocity tracking control problem and the lateral stability problem of the four-wheel independent drive electric vehicle (4WID-EV) system under actuator fault conditions are studied. Firstly, the 7 degrees of freedom (DOF) vehicle model and linear 2 DOF ideal vehicle model are constructed in this paper. Secondly, a nonlinear state observer is designed to track the real system states. Then, a double-layer controller is constructed to guarantee the longitudinal motion performance and lateral stability of the vehicle by updating the input voltage of the four in-wheel motors to control both the longitudinal driving force and the yaw moment, where the sliding mode control (SMC) and quadratic programming are used in the upper and lower controllers, respectively. Finally, the effectiveness of the method proposed is verified by three different maneuvers. © 2022 IEEE.

关键词： Quadratic programming

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Simulation study of turbulent mixing characteristics of tight lattice with triangular arrangement under blockage condition 5

Simulation study of turbulent mixing characteristics of tigh...

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2021 5th International Conference on Fluid Mechanics and Industrial Applications, FMIA 2021

作者： Li, Yunxiang Luo, Dongmei Yang, Xinyu Zhang, Chuyun College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610000 China

The study of turbulent mixing in the gaps of fluid sub-channels in the tight lattice under blockage conditions is of great significance to the prediction of the thermal-hydraulic behavior of fuel assemblies under accident conditions. The CFD method was used to simulate the fluid flow phenomenon in the blockage condition in the tight lattice, and the velocity field and the turbulent mixing coefficient distribution in the section and downstream of the blockage under different blockage conditions were further compared and analyzed. The analysis results show that the blockage mainly affects the flow field of the sub-channel where it is located and the adjacent sub-channels. The turbulent mixing coefficient in these channels will increase significantly;when the sub-channel blockage rate is small, the turbulent mixing coefficient downstream of the blockage will be reduced;the short length will make the flow field near the top of blockage segment more complicated. The obtained changes of transverse and axial turbulent mixing coefficients under different blockage conditions can provide a reference for the parameter setting of the sub-channel analysis program. © Published under licence by IOP Publishing Ltd.

关键词： Flow fields

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Independent Vector Analysis Based Blind Interference Reduction and Signal Recovery for MIMO IoT Green Communications

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China Communications 2022年第7期19卷 79-88页

作者： Zhongqiang Luo Mingchun Li Chengjie Li School of Automation and Information Engineering Sichuan University of Science and EngineeringYibin 644000China Artificial Intelligence Key Laboratory of Sichuan Province Sichuan University of Science and EngineeringYibin 644000China School of School of Computer Science and Technology Southwest Minzu UniversityChengdu 610041China

In application to time convolutive mixing model or frequency domain blind separation model for wireless receiving applications,frequency domain independent component analysis(FDICA)has been a very popular method but with adverse random permutation ambiguity *** order to solve this inherent problem in FDICA assisted multiple-input multiple-output orthogonal frequency-division multiplexing(MIMO-OFDM)based the Internet of Thing(IoT)systems,this paper proposes an new detection mechanism,named independent vector analysis(IVA),for realizing blind adaptive signal recovery in MIMO IoT green communication to reduce inter-carrier interference(ICI)and multiple access interference(MAI).IVA jointly implements separation work for different frequency bin data while the FDICA deals with it *** IVA,the dependencies of frequency bins can be exploited in mitigating the random permutation *** addition,multivariate prior distributions are employed to preserve the inter-frequency dependencies for individual sources,which can result in separation performance *** results and analysis corroborate the effectiveness of the proposed method.

关键词： independent vector analysis blind source separation MIMO green communications

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Study on Background Subtraction of X-ray Spectrum by Improved Fourier Transform Based on Adaptive Threshold Judgment 3

Study on Background Subtraction of X-ray Spectrum by Improve...

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3rd IEEE Eurasia Conference on IOT, Communication and engineering, ECICE 2021

作者： Cao, Hong Ge, Liangquan Gu, Yi Li, Fei Gu, Zhixing Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu610059 China

ISBN: (纸本)9781665445160

In the field of nuclear analysis, background superposition affects the accuracy of qualitative and quantitative analysis. The research on background deduction of X-ray spectrum has always been an important step to optimize the spectral line data. Fourier transform [6] is one of the important methods of background deduction, but the threshold judgment of background deduction is involved in the calculation process, which needs to be calculated separately and the steps are cumbersome. Therefore, an adaptive hierarchical threshold judgment method based on a neural network model is proposed. Firstly, the data of experimental spectrum are regularized and preprocessed, data with low sparse characteristics are screened, seven obvious characteristic peaks are optimized, and 809 data with small weight are screened, and the accuracy is relatively improved by 79.00%. After preprocessing, the neural network model adaptive layered breakpoint algorithm [1] is used to judge the threshold. Finally, the iterative Fourier transform method is used to deduct the background of the X-ray spectrum, and the stability of the model is studied. It is concluded that the model can accurately deduct the spectral background of X-ray, and has strong stability and accuracy under the allowable error. © 2021 IEEE.

关键词： Neural network models

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Flocking Control for Discrete-Time Cucker-Smale Model on Cooperation Networks

Flocking Control for Discrete-Time Cucker-Smale Model on Coo...

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2022 Chinese automation Congress, CAC 2022

作者： Shi, Xiaoyu Cui, Qiong Wang, Li Cheng, Yuhua Xihua University School of Electrical Engineering and Electronic Information Chengdu610039 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

ISBN: (纸本)9781665465335

This study discusses the discrete-time Cucker-Smale (C-S) model's flocking on cooperative networks through general directed graphs. The error functions of the agent's velocity and position are constructed to achieve the flocking behavior through the convergence analysis of the errors. The follower modifies its own velocity by a weighted value of the differential with other agents while the leader maintains a fixed constant velocity. Further, if all agents maintain the same velocity, the separation among agent will eventually cluster inside a specific upper bound. The convergence analysis of errors transformed into the products convergence of infinite sub-stochastic matrices. By means of these theory, a algebraic condition which is relyed on the initial states, the topological structure and the weight function for achieving flocking behavior is estabilished. Finally, the theoretical findings are illustrated by a number of numerical examples. © 2022 IEEE.

关键词： Directed graphs

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Cogging Torque Reduction in A Transverse-flux Flux-reversal Permanent Magnet Motor 5

Cogging Torque Reduction in A Transverse-flux Flux-reversal ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Yang, Xiaobao Luo, Bo Zhou, Yu Miao, Hong Kou, Baoquan Sichuan University College of Electrical Engineering Chengdu China Harbin Institute of Technology School of Electrical Engineering and Automation Harbin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The transverse-flux flux-reversal PM motor (TF-FRM), which combines the technologies of transverse-flux motor and flux-reversal motor, has been proposed in forgoing work to improve the torque generation capability of motor. However, one issue of TF-FRM is the high cogging torque during rotation, especially, when the motor is designed as an external rotor structure with a large gap diameter. This paper aimed to propose an improved configuration based on structural parameter optimization for cogging torque reduction in TF-FRM. Firstly, the mathematical expression of cogging toque in TF-FRM is derived analytically. Then, the preliminary optimization of basic dimension is done by finite element method to reduce the cogging torque. At last, the performance comparison is done between original configuration and improved one. The result indicates that the proposed topology can effectively reduce cogging torque and torque ripple, meanwhile, slightly increase the electromagnetic torque. © 2022 IEEE.

关键词： Torque

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An Improved YOLOv5 for Transformer Nameplate Text Detection

An Improved YOLOv5 for Transformer Nameplate Text Detection

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2023 Panda Forum on Power and Energy, PandaFPE 2023

作者： Liu, Lanxin Hou, Jin Zhao, Jing Ma, Chiyi Min, Lixiao Yin, Huiyang Sichuan University of Science & Engineering Artificial Intelligence Key Laboratory of Sichuan Province Zigong China Institute of Electricity Science State Grid Sichuan Electric Power Company Chengdu China School of Automation Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798350321173

Aiming at the characteristics of dense text and large font size span of transformer nameplate, a text detection algorithm of transformer nameplate improved YOLOv5 is proposed. Efficient Channel Attention is added to the C3 module of backbone to suppress the interference of a large amount of background information generated by multiple convolutions to the target information, and to enhance the focus on text targets during feature extraction;The feature map after Neck feature fusion uses the Coordinate Attention to update the weight. It obtains global information and is more sensitive to text targets;Introducing SIoU-Loss replaces CIoU-Loss to accelerate algorithm convergence. The feasibility was verified on the ICDAR 2013 dataset. The results show that YOLOv5 has better performance than some classical algorithms;The experiment is conducted on the self-made dataset. It shows that the improved algorithm mAP0.5 has reached 0.88,091, Precision has reached 0.97757, and mAP0.5: 0.95 has increased by 3.3 percentage points compared with the original algorithm, achieving excellent performance. © 2023 IEEE.

关键词： Nameplates

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Development of the High Voltage DC Power Supply for X-ray Tube 3

Development of the High Voltage DC Power Supply for X-ray Tu...

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3rd IEEE Eurasia Conference on IOT, Communication and engineering, ECICE 2021

作者： Pu, Yongfan Wei, Xubo Liu, Zhao Chengdu University of Technology The College of Nuclear Technology and Automation Engineering Chengdu610059 China

ISBN: (纸本)9781665445160

A 350 kV/20 mA high voltage DC power supply for X-ray tube is designed to use as a control circuit with Digital Signal Processor (DSP). The power use the 380 V/50 Hz three-phase electric as input signal, and output high voltage via rectifier filter, full bridge inverter, transformer booster and voltage doubling rectifier. The inverter circuit implements voltage adjustment by generating SPWM of different duty ratios in DSP. The Maxwell software is employed to calculate the distribution of the electric field as designing the transformer, and the maximum field strength is 78.521 kV/mm in winding. It is available to design the layer insulation of transformer windowing with the polyimide film in accordance with the electric field. Voltage doubling rectifier circuit uses C-W positive and negative two-way voltage doubling rectifier circuit which is a wide application in X-ray Optical Source. The numerical simulation indicates that the overall design of power is legitimate and the parameters can reach the expected requirements. © 2021 IEEE.

关键词： Digital signal processing

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