IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society最新文献_第10页

Motion control of a robotic fish via learning control approach with self-adaption 基于自适应学习控制方法的机器鱼运动控制

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392147

Xuefang Li, Jian-xin Xu, Qinyuan Ren

引用次数: 2

Wide area surveillance of urban environments using multiple Mini-VTOL UAVs 使用多个迷你垂直起降无人机对城市环境进行广域监视

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392196

Yue Yang, M. Karimadini, C. Xiang, R. Teo, Ben M. Chen, Tong-heng Lee

引用次数: 7

Solid rotor interior permanent magnet machines for high speed applications 高速应用的固体转子内嵌式永磁电机

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392353

P. Arumugam, Zeyuan Xu, G. Vakil, T. Hamiti, S. Bozhko, C. Gerada, S. Pickering

引用次数: 2

Open-circuit fault diagnosis in neutral-point-clamped UPS inverters with no additional sensors 无附加传感器的中性点箝位UPS逆变器开路故障诊断

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392472

L. Caseiro, A. Mendes

引用次数: 3

Distributed low voltage ride-through operation of power converters in grid-connected microgrids under voltage sags 电压跌落下并网微电网电源变流器的分布式低压穿越运行

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392379

Xin Zhao, L. Meng, T. Dragičević, M. Savaghebi, J. Guerrero, J. Vasquez, Xiaohua Wu

{"title":"Distributed low voltage ride-through operation of power converters in grid-connected microgrids under voltage sags","authors":"Xin Zhao, L. Meng, T. Dragičević, M. Savaghebi, J. Guerrero, J. Vasquez, Xiaohua Wu","doi":"10.1109/IECON.2015.7392379","DOIUrl":"https://doi.org/10.1109/IECON.2015.7392379","url":null,"abstract":"With the increasing penetration of renewable energy, microgrids (MGs) have gained a great attention over the past decade. However, a sudden cut out of the MGs due to grid fault may lead to adverse effects to the grid. As a consequence, reactive power injection provided by MGs is preferred since it can make the MG a contributor in smooth ride through the faults. In this paper, a reactive power support strategy using droop controlled converters is proposed to aid MG riding through three phase symmetrical voltage sags. In such a case, the MGs should inject reactive power to the grid to boost the voltage in all phases at AC common bus. However, since the line admittances from each converter to point of common coupling (PCC) are not identical, the injected reactive power may not be equally shared. In order to achieve low voltage ride through (LVRT) capability along with a good power sharing accuracy, a hierarchical control strategy is proposed in this paper. Droop control and virtual impedance is applied in primary control loop while secondary control loop is based on dynamic consensus algorithm (DCA). Experiments are conducted to verify the effectiveness of the proposed control strategy.","PeriodicalId":190550,"journal":{"name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115634753","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: 8

Mechanical design of an active-caster robotic drive with dual-wheel and differential mechanism 双轮差动主动脚轮机器人驱动机构的机械设计

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392943

S. Nasu, M. Wada

引用次数: 2

A wireless smart parking system 无线智能停车系统

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392741

O. Orrie, B. Silva, G. Hancke

引用次数: 42

A push-recovery method for walking biped robot based on 3-D flywheel model 一种基于三维飞轮模型的行走双足机器人推回收方法

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392507

R. Luo, Chao-Wen Huang

引用次数: 6

Study on the 3D printed robotic fish with autonomous obstacle avoidance behavior based on the adaptive neuro-fuzzy control 基于自适应神经模糊控制的3D打印机器鱼自主避障行为研究

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392068

Xin Deng, Dinglin Jiang, Jin Wang, Mingxu Li, Qiaosong Chen

引用次数: 3

A hybrid kernel PCA, hypersphere SVM and extreme learning machine approach for nonlinear process online fault detection 一种混合核主成分分析、超球支持向量机和极限学习机的非线性过程在线故障检测方法

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2015-11-01 DOI: 10.1109/IECON.2015.7392412

Mengqi Ni, Jingjing Dong, Tianzhen Wang, Diju Gao, Jingang Han, M. Benbouzid

{"title":"A hybrid kernel PCA, hypersphere SVM and extreme learning machine approach for nonlinear process online fault detection","authors":"Mengqi Ni, Jingjing Dong, Tianzhen Wang, Diju Gao, Jingang Han, M. Benbouzid","doi":"10.1109/IECON.2015.7392412","DOIUrl":"https://doi.org/10.1109/IECON.2015.7392412","url":null,"abstract":"This paper presents a hybrid approach for online fault detection in nonlinear processes. To solve the possible monitoring difficulties caused by nonlinear characteristics of industrial process data, two applications of the Kernel Method: Hypersphere Support Vector Machine (HSSVM) and Kernel Principal Component Analysis (KPCA) are used as fault detection methods. On top of that, to obtain the adaptive models for online monitoring and fault detection in unsteady-stage conditions, instead of the static ones established by traditional HSSVM and KPCA, multiple methods are adopted, including Recursive KPCA, Adaptive Control Limit (ACL) and Online Sequential Extreme Learning Machine (OS-ELM), all of which update the detection model in real time with dynamically adjusting. The T2 control limit of Recursive KPCA, the classification hyperspheres of HSSVM and the single hidden layer feedforward network (SLFN) trained with OS-ELM work collaboratively in monitoring the real time process data to detect the possible faults. The proposed approach was tested and validated via a set of experimental data collected from a bearing test rig. Experimental results show that this approach is adequate for fault detection while meets the needs of real time performance.","PeriodicalId":190550,"journal":{"name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124332781","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