2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)最新文献

Research on Multi-objective Optimal Scheduling of Active Distribution Network Based on Cluster Partition 基于聚类划分的有源配电网多目标优化调度研究

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516261

Peng-fei Liu, Hongyu Long, Mingyao Ma

引用次数: 0

Fuzzy Fault Detection Observer Design for Head-Two-Arms-Trunk System 头部-双臂-躯干系统的模糊故障检测观测器设计

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516399

Juntao Pan, Rongrong Li, Sujun Wang, Weiwei Zhang

引用次数: 0

Comparative analysis of two kinds of subsynchronous oscillation of direct drive PMSG based wind farm dominated by inner current loop 内电流环主导的直接驱动PMSG风电场两种次同步振荡的比较分析

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516184

Wenchao Zhai, Qi Jia, Gangui Yan, Junxi Wang, Mohan Shen

{"title":"Comparative analysis of two kinds of subsynchronous oscillation of direct drive PMSG based wind farm dominated by inner current loop","authors":"Wenchao Zhai, Qi Jia, Gangui Yan, Junxi Wang, Mohan Shen","doi":"10.1109/ICIEA51954.2021.9516184","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516184","url":null,"abstract":"Aiming at the subsynchronous oscillation problem of direct drive wind farm in low operating conditions, the eigenvalue analysis method and impedance analysis method are used to analyze two kinds of subsynchronous oscillation problems caused by different current loop parameters of direct drive wind turbine group dominated by current inner loop control. The results show that: for the first kind of subsynchronous oscillation, the dominant influencing factors are the power grid strength and the current inner loop control parameters; with the decrease of the power grid strength, the current inner loop control parameters decrease, weakening the system damping, and the oscillation frequency gradually decreases; for the second kind of subsynchronous oscillation, the dominant influencing factors are the current inner loop control parameters, with the decrease of the power grid strength The damping of the system is weakened and the oscillation frequency increases slightly. In EMTDC/PSCAD, the time domain simulation model of direct drive wind turbine group connected to AC power grid is built, which verifies the correctness and effectiveness of the theoretical analysis.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"29 1","pages":"1585-1590"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72603782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Remote current and voltage monitoring system based on cloud storage and wireless communication technology 基于云存储和无线通信技术的远程电流电压监测系统

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516357

Hanting Yin, Quan Jiang, Chen Tang

引用次数: 0

Robust finite non-singular terminal synergetic control for second order nonlinear systems subject to time-varying mismatched disturbances 时变失匹配扰动二阶非线性系统的鲁棒有限非奇异终端协同控制

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516332

Y. S. Hagh, A. Fekih, H. Handroos

{"title":"Robust finite non-singular terminal synergetic control for second order nonlinear systems subject to time-varying mismatched disturbances","authors":"Y. S. Hagh, A. Fekih, H. Handroos","doi":"10.1109/ICIEA51954.2021.9516332","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516332","url":null,"abstract":"This paper proposes a novel robust finite synergetic control approach for nonlinear systems subject to time-varying mismatched disturbances. Its main objective is to guarantee the finite-time convergence of the states while eliminating the singularity problem and providing a chattering-free response despite the disturbances. The controller is formulated based on a novel non-singular terminal sliding manifold and the disturbances are estimated using a nonlinear finite time disturbance observer. By estimating the values of the mismatched disturbances and uncertainties, a novel synergetic manifold is introduced which compensates for an estimate of the disturbances. This yields a robust Finite Non-singular Terminal Synergistic Control (FNTSC) that is capable of counteracting the effects of the time-varying mismatched disturbances. System stability is established using the Lyapunov stability theory. The effectiveness and performance of the proposed approach is assessed using a four-bar linkage mechanism as a study case. The obtained results confirmed the robustness, finite time convergence and chattering free dynamics of the proposed controller.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"32 1","pages":"228-233"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76578117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Voltage Differential and Pulse Synchronous Driving Control of Paralleled IGBTs for Current Balance Improving 一种改善并联igbt电流平衡的压差和脉冲同步驱动控制

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516174

Yuhan Wu, Guangang Gao, Yixin Liu, Feng Mu, Xianjin Huang

引用次数: 0

Fault feature selection of Subway Plug Door Based on ReliefF and BGWO 基于ReliefF和BGWO的地铁塞门故障特征选择

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516402

Tao Wang, Dong Liu, Yang Liu, Zhenwei Li, Le Xie, Qilong Jiang

{"title":"Fault feature selection of Subway Plug Door Based on ReliefF and BGWO","authors":"Tao Wang, Dong Liu, Yang Liu, Zhenwei Li, Le Xie, Qilong Jiang","doi":"10.1109/ICIEA51954.2021.9516402","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516402","url":null,"abstract":"In view of the problem that the characteristic extraction of subway plug door fault diagnosis is too high, which leads to low diagnostic accuracy, a mixed feature selection method based on ReliefF algorithm and BGWO (binary grey wolf optimizer, BGWO) was proposed. Firstly, multiple domains feature extraction were carried out on the collected current signal of the subway plug door motor, and an original fault feature set describing the subway plug door fault was obtained. Afterwards, the ReliefF algorithm was used to evaluate the extracted original fault feature weights and screened out the less relevant features. Finally, the classification error rate of GWO (grey wolf optimizer, GWO)-SVM (support vector machine, SVM) is used as the fitness value, and BGWO is used as the feature selection algorithm to perform feature selection on the feature subset obtained by the ReilefF algorithm. The data collected in a Metro Depot in Jiangsu Province is used as the original data set for verification. The experimental results show that the method can screen out low dimensional fault feature sets with high correlation, low redundancy and high fault identification, it can effectively improve the accuracy of subway plug door fault diagnosis.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"36 1","pages":"1346-1351"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79807581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improvement Canny Edge Detection for the UAV Icing Monitoring of Transmission Line Icing 改进Canny边缘检测在无人机监控输电线路结冰中的应用

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516053

Nalini Rizkyta Nusantika, Xiaoguang Hu, Jin Xiao

引用次数: 5

Current-sensorless Finite-Control-Set Model Predictive Control for Three-level Voltage Source Inverter 三电平电压源逆变器无电流传感器有限控制集模型预测控制

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516408

Kaixin Wang, Shen-Yaur Chen, Yuhang Tang, Yong Yang, Mingdi Fan, Menxi Xie

引用次数: 0

Inverter Fault Diagnosis Based on Optimized BP Neural Network 基于优化BP神经网络的逆变器故障诊断

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516072

Xing Liu, Mingyao Ma, Weisheng Guo, Xuesong Meng, Pengbo Xiong

引用次数: 2