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2023 Power Electronics and Power System Conference, PEPSC 2023

作者： Chen, Long Chen, Tianxiang Wang, Xun Xiang, Xiaolei College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (纸本)9798350341294

As an important parameter characterizing the insulation performance of high-voltage equipment, tan delta is commonly used in the regular maintenance and fault inspection of high-voltage equipment. During the tan delta measurement of high-voltage equipment, it is found that the ambient humidity will affect the measurement results. In order to avoid this effect leading to the misjudgment of the insulation condition of the equipment. In this paper, a current transformer model LB6-110, which has been operated for more than 10 years, is taken as the test object, and the method of controlling the humidity change is adopted. Through five different test wiring methods to measure tanδ, summarize and analyze the effect of humidity on tan delta under different test wiring, and put forward the optimal wiring method to avoid the effect of humidity. © 2023 IEEE.

关键词： Electric instrument transformers

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Research on Fault of Vegetated Contact Phase of Low Voltage Distribution Lines 2

Research on Fault of Vegetated Contact Phase of Low Voltage ...

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2nd Asia Power and Electrical technology Conference, APET 2023

作者： Long, Chen Tian-Xiang, Chen Long-Shan, Yang Meng, Wang Chao-Xu, Zeng Sen, Yang College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (纸本)9798350359428

In order to study whether the vegetation touching single-phase conductor faults of low voltage distribution lines can lead to hill fires, a 400V low voltage bare conductor simulated tree line fault experimental platform was built. The possibility of vegetation ignition caused by vegetation contact fault in low voltage distribution lines is studied by analyzing the leakage current flowing through vegetation., the temperature rise of vegetation and the traces of carbonization on the surface. The results show that the bamboo with high water content touches the single-phase conductor fault temperature rise obviously., there are obvious charring traces near the fault point in the test., and the maximum temperature reaches 95.3 °C, the maximum leakage current is 180mA., and there is no discharge phenomenon in the test. High water content will limit the maximum temperature near the fault point to be less than the boiling point of water., and the temperature rise will accelerate the loss of water., leading to a decrease in leakage current., and eventually the temperature drop at the fault point gradually stabilizes., indicating that a single-phase conductor fault on a low voltage distribution line with vegetation touching it will not cause a fire. The results of the study are of great significance for the prevention of hill fires on low voltage distribution lines through forested areas. © 2023 IEEE.

关键词： Fires

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Quasi-synchronous control of uncertain multiple electrohydraulic systems with prescribed performance constraint and input saturation

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Chinese Journal of Aeronautics 2023年第9期36卷 416-425页

作者： Shuai LI Qing GUO Yan SHI Yao YAN Dan JIANG School of Aeronautics and Astronautics University of Electronic Science and Technology of ChinaChengdu 611731China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

This article focuses on the high accuracy quasi-synchronous control issue of multiple electrohydraulic systems(MEHS).In order to overcome the negative effects of parameter uncertainty and external load interference of MEHS,a kind of finite-time disturbance observer(FTDO)via terminal sliding mode method is constructed based on the MEHS model to achieve fast and accuracy estimation and compensation *** avoid the differential explosion in backstepping iteration,the dynamic surface control is used in this paper to guarantee the follower electrohydraulic nodes synchronize to the leader motion with a better ***,a timevarying barrier Lyapunov function(tvBLF)is adopted during the controller design process to constraint the output tracking error of MEHS in a prescribed performance with time-varying exponential *** the initial state condition is relax by tvBLF,the input saturation law is also adopted during the controller design process in this paper to restrain the surges of input signals,which can avoid the circuit and mechanical structure damage caused by the volatile input *** MEHS experimental bench is constructed to verify the effectiveness of the theoretical conclusions proposed in this paper and the advantages of the proposed conclusions in this paper are illustrated by a series of contradistinctive experimental results.

关键词： Backstepping Dynamic surface Finite-time disturbance observer Input saturation Multiple Electrohydraulic Systems Output error constraint Quasi-synchronous control

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Application of system identification in a practical active noise control system

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Control Theory and technology 2024年第2期22卷 282-291页

作者： Yu Yuan Zhaoyang Sun Hongwei Zhang School of Mechanical Engineering Xihua UniversityChengdu610039SichuanChina School of Electrical Engineering Southwest Jiaotong UniversityChengdu611756SichuanChina School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen518055GuangdongChina

Noise pollution has become increasingly severe around the world due to fast urbanization. How to soundproof windows from outside noise is of significant interest for both academia and industry. This paper reports an experimental implementation of normalized minmax active noise control (ANC) algorithm on an open window system, where identifying the model of acoustic sound paths plays a central role. By doing this, traffic noise is attenuated by the ANC system, leading to a relatively quiet indoor environment, while the natural lighting and ventilation functions of a window are remained. Our experiments show that an average of 19 dB(A) noise reduction is achieved.

关键词： Active noise control Multi-input-multi-output system Normalized minimax algorithm System identification

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A nuclide identification method ofγspectrum and model building based on the transformer

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Nuclear Science and Techniques 2025年第1期36卷 80-93页

作者： Fei Li Chu-Yang Luo Ying-Zi Wen Sheng Lv Feng Cheng Guo-Qiang Zeng Jian-Feng Jiang Bing-Hai Li College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610000China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu 610000China Department of Physics Universitat Politècnica de CatalunyaBarcelona 08028Spain Airborne Survey and Remote Sensing Center of Nuclear Industry Shijiazhuang 050000China Hebei Key Laboratory of Airborne Detection and Remote Sensing Technology Shijiazhuang 050000China

In current neural network algorithms for nuclide identification in high-background,poor-resolution detectors,traditional network paradigms including back-propagation networks,convolutional neural networks,recurrent neural networks,etc.,have been limited in research on γ spectrum analysis because of their inherent mathematical *** is difficult to make progress in terms of training data requirements and prediction *** contrast to traditional network paradigms,network models based on the transformer structure have the characteristics of parallel computing,position encoding,and deep stacking,which have enabled good performance in natural language processing tasks in recent ***,in this paper,a transformer-based neural network (TBNN) model is proposed to achieve nuclide identification for the first ***,the Geant4 program was used to generate the basic single-nuclide energy spectrum through Monte Carlo simulations.A multi-nuclide energy spectrum database was established for neural network training using random matrices of γ-ray energy,activity,and *** on the encoder–decoder structure,a network topology based on the transformer was built,transforming the 1024-channel energy spectrum data into a 32×32 energy spectrum sequence as the model *** experiments and adjustments of model parameters,including the learning rate of the TBNN model,number of attention heads,and number of network stacking layers,the overall recognition rate reached 98.7%.Additionally,this database was used for training AI models such as back-propagation networks,convolutional neural networks,residual networks,and long shortterm memory neural networks,with overall recognition rates of 92.8%,95.3%,96.3%,and 96.6%,*** indicates that the TBNN model exhibited better nuclide identification among these AI models,providing an important reference and theoretical basis for the practical application of transformers in the qualitative and quantitativ

关键词： Nuclide identification Neural network Transformer

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Characteristics of sub-synchronous oscillation in grid-connected wind farm system

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Journal of Electronic Science and technology 2023年第4期21卷 91-101页

作者： Yan Gong Qi Huang Dong-Sheng Cai Bamisile Olusola Olorunfemi School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China Southwest University of Science and Technology Mianyang621010China The College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu610059China

With the rapid development of wind power, wind turbines are accompanied by a large quantity of power electronic converters connected to the grid, causing changes in the characteristics of the power system and leading to increasingly serious sub-synchronous oscillation (SSO) problems, which urgently require the generalized classification and characterization of the emerging oscillation problems. This paper classifies and characterizes the emerging types of SSO caused by grid-connected wind turbines to address these issues. Finally, the impact of the typical system parameters changes on the oscillation pattern is analyzed in depth to provide effective support for the subsequent suppression and prevention of SSO.

关键词： Characteristics Classification Sub-synchronous oscillation(SSO) Typical system parameters Wind farm

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Fixed-Time Stabilization of High-Order Uncertain Nonlinear Systems:Output Feedback Control Design and Settling Time Analysis

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Journal of Systems Science & Complexity 2023年第4期36卷 1351-1372页

作者： GUO Chaoqun HU Jiangping School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313001China

This paper is devoted to stabilizing the high-order uncertain nonlinear system in a fixed time by output feedback ***,a novel settling time solution method is proposed by establishing an indirect double system and using the comparison *** a fixed-time observer and a neural networked based adaptive law are constructed to estimate the state and the unknown disturbance for the high-order uncertain nonlinear ***,a fixed-time output feedback controller is proposed via the homogeneity *** upper bound of the settling time is analyzed for the closed-loop system under the proposed output feedback ***,simulation examples are given to illustrate the effectiveness of the theoretical results.

关键词： Fixed-time observer high-order uncertain system homogeneity approach output feedback control settling time

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Dual-Event-Triggered Intelligence Security Control for Multiagent Systems Against DoS Attacks With Applications in Mobile Robot Systems

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第2期5卷 916-924页

作者： Liang, Hongjing Chang, Zhenyu Pan, Yingnan School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China College of Control Science and Engineering Bohai University Jinzhou121013 China

The intelligence security control problem of multiagent systems in the presence of actuator faults is investigated against denial-of-service (DoS) attacks. Noticing that the DoS attacks usually make the actuator signal not available for distributed control protocols, a novel intelligence dual-event-triggered control strategy is developed to eliminate the impact of DoS attacks. This control strategy includes two related event triggers, respectively, set on different channels, in which the second event-triggered condition is related to the triggering sequence of the previous event. Through the coordination between two nested event triggers set on different channels, the controller is avoided by being affected by wrong signals caused by DoS attacks. The developed distributed control protocol can not only guarantee the realization of the tracking control task, but also ensure that no 'Zeno behavior' occurs in the process of the event triggering. Moreover, the obtained results are applied to the mobile robot systems. Finally, a numerical simulation example and a mobile robot system application are given to verify the feasibility and effectiveness of the proposed control strategy. © 2023 IEEE.

关键词： Mobile robots

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A method for correcting characteristic X-ray net peak count from drifted shadow peak

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Nuclear Science and Techniques 2023年第11期34卷 155-167页

作者： Lin Tang Xing‑Ke Ma Kai‑Bo Shi Yeng‑Chai Soh Hong‑Tao Shen College of Electronic Information and Electrical Engineering Chengdu UniversityChengdu 610106China Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology Guangxi Normal UniversityGuilin 541004China National Engineering Research Center for Agro-Ecological Big Data Analysis and Application Anhui UniversityHefei 230039China School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610059China

To correct spectral peak drift and obtain more reliable net counts,this study proposes a long short-term memory(LSTM)model fused with a convolutional neural network(CNN)to accurately estimate the relevant parameters of a nuclear pulse signal by learning of samples.A predefined mathematical model was used to train the CNN-LSTM model and generate a dataset composed of distorted pulse *** trained model was validated using simulated *** relative errors in the amplitude estimation of pulse sequences with different degrees of distortion were obtained using triangular shaping,CNN-LSTM,and LSTM *** a result,for severely distorted pulses,the relative error of the CNN-LSTM model in estimating the pulse parameters was reduced by 14.35%compared with that of the triangular shaping *** slightly distorted pulses,the relative error of the CNN-LSTM model was reduced by 0.33%compared with that of the triangular shaping *** model was then evaluated considering two performance indicators,the correction ratio and the efficiency ratio,which represent the proportion of the increase in peak area of the two characteristic peak regions of interest(ROIs)to the peak area of the corrected characteristic peak ROI and the proportion of the increase in peak area of the two characteristic peak ROIs to the peak areas of the two shadow peak ROI,*** measurement results of the iron ore samples indicate that approximately 86.27%of the decreased peak area of the shadow peak ROI was corrected to the characteristic peak ROI,and the proportion of the corrected peak area to the peak area of the characteristic peak ROI was approximately 1.72%.The proposed CNN-LSTM model can be applied to X-ray energy spectrum correction,which is of great significance for X-ray spectroscopy and elemental content analyses.

关键词： Peak correction Triangular shaping Deep learning Long short-term memory Convolutional neural network X-ray fluorescence spectroscopy Silicon drift detector

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Study on Beam Trajectory Deflection and Spatial Dose Distribution in Magnetic Resonance-Guided Proton Therapy 23rd

Study on Beam Trajectory Deflection and Spatial Dose Distrib...

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23rd Pacific Basin Nuclear Conference, PBNC 2022

作者： Ren, Xiao-Qing Wang, Ming Wang, Xin-Chen Li, Meng Li, Guo-Dong Zhang, Lei School of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu China

ISBN: (纸本)9789811988981

Proton therapy can significantly inhibit the radiation damage of additional tissues, which is the development trend of cancer radiotherapy. At present, the randomness of range fluctuation of proton beam in the body is a technical bottleneck that limits the high-precision dose distribution of proton therapy. The targeting accuracy of proton therapy for moving soft-tissue tumours is expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. However, the magnetic field introduced by MRI will affect the transmission trajectory of proton beam, and then cause the deposition dose distortion in the body. Therefore, it is necessary to accurately evaluate the beam deflection trajectory under the three-dimension magnetic field. In this paper, with the help of Monte Carlo code TOPAS, the proton beam trajectory deflection under different magnetic field parameters is carried out, and the calculation accuracy of the mathematical model is verified by Monte Carlo algorithm. Then, the trajectories of primary protons and secondary particles (consider electrons and secondary protons) under different magnetic field are investigated. Moreover, comparison diagram of dose distribution before and after correction is presented in the paper. The analysis results of this paper will provide data reference for the dose correction of later MRI guided proton therapy device. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Proton beams

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