2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)最新文献_第6页

Reorienting linear complementarity systems using feedback 利用反馈重新定位线性互补系统

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5281082

H. Priyadarshan, H. Pillai

引用次数: 0

Robust STATCOM control for the enhancement of fault ride-through capability of fixed speed wind generators 鲁棒STATCOM控制提高定速风力发电机故障穿越能力

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5281072

Md. Jahangir Hossain, H. Pota, V. Ugrinovskii, R. Ramos

{"title":"Robust STATCOM control for the enhancement of fault ride-through capability of fixed speed wind generators","authors":"Md. Jahangir Hossain, H. Pota, V. Ugrinovskii, R. Ramos","doi":"10.1109/CCA.2009.5281072","DOIUrl":"https://doi.org/10.1109/CCA.2009.5281072","url":null,"abstract":"In this paper, a novel robust controller for a Static Synchronous Compensator (STATCOM) is presented to enhance the fault ride-through (FRT) capability of fixed speed induction generators (FSIGs), the most common type of generators that can be found in wind farms. The effects of STATCOM rating and wind farm integration on FRT capability of FSIGs are studied analytically using the power-voltage and torque-slip relationships as well as through simulations. The wind generator is a highly nonlinear system, which is modelled in this work as a linear part plus a nonlinear part, the nonlinear term being the Cauchy remainder term in the Taylor series expansion and of the equations used to model the wind farm. Bounds derived for this Cauchy remainder term are used to define an uncertain linear model for which a robust control design is performed. The controller resulting from this robust design provides an acceptable performance over a wide range of conditions needed to operate the wind farm during severe faults. The performance of the designed controller is demonstrated by large disturbance simulations on a test system.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128148302","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: 35

Model-based fuzzy control application to a self-balancing two-wheeled inverted pendulum 基于模型的模糊控制在自平衡两轮倒立摆中的应用

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5281126

Wen-June Wang, Cheng-Hao Huang

引用次数: 4

Predictive analysis for social processes I: Multi-scale hybrid system modeling 社会过程的预测分析I:多尺度混合系统建模

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5280709

R. Colbaugh, K. Glass

引用次数: 19

Real-time decentralized neural backstepping controller for a robot manipulator 机器人操纵臂的实时分散神经反步控制器

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5280998

R. García-Hernández, E. Sánchez, V. Santibáñez, M. Llama, E. Bayro-Corrochano

引用次数: 3

Closed-loop direct parametric identification of magnetohydrodynamic normal modes spectra in EXTRAP-T2R reversed-field pinch EXTRAP-T2R反场挤压磁流体动力正态谱的闭环直接参数辨识

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5281183

E. Olofsson, P1er Brunsell, J. Drake

{"title":"Closed-loop direct parametric identification of magnetohydrodynamic normal modes spectra in EXTRAP-T2R reversed-field pinch","authors":"E. Olofsson, P1er Brunsell, J. Drake","doi":"10.1109/CCA.2009.5281183","DOIUrl":"https://doi.org/10.1109/CCA.2009.5281183","url":null,"abstract":"The reversed-field pinch (RFP) EXTRAP-T2R (T2R) is a plasma physics experiment with particular relevance for magnetic confinement fusion (MCF) research. T2R is very well equipped for investigations of magnetohydrodynamic (MHD) instabilities known as resistive-wall modes (RWMs), growing on a time-scale set by a surrounding non-perfectly conducting shell. The RWM instability is also subject of intense research in tokamak experiments (another MCF configuration). Recently, multiple RWMs have been stabilized in T2R using arrays of active (current-carrying) and sensor (voltage-measuring) coils equidistributed on the shell. In this paper, the MHD normal modes dynamics is probed in the required feedback operation by simultaneously, and pseudo-randomly, exciting the spectrum in the spatial sense. Spectra are then extracted by predictionerror minimization based on an observer that tracks dynamically aliased modes and the results thus obtained are related, and compared, to established linear MHD stability theory. This pioneer study at T2R is, arguably, appealling both to plasma physicists and automatic control staff.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114385147","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: 9

Discrete Forward-Backward Fuzzy Predictive Control 离散前向后模糊预测控制

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5280702

S. García-Nieto, J. V. Salcedo, D. Laurí, Miguel A. Martínez

引用次数: 1

Real-time torque control for a DC motor using recurrent high order neural networks 基于循环高阶神经网络的直流电机实时转矩控制

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5280996

C. C. Hernández, E. Sánchez, A. Loukianov, B. Castillo-Toledo

引用次数: 5

Logical localization of large Internet events 大型互联网事件的逻辑本地化

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5281133

K. Glass, R. Colbaugh, M. Planck

引用次数: 0

Fuzzy rule inference based human activity recognition 基于模糊规则推理的人类活动识别

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC) Pub Date : 2009-07-08 DOI: 10.1109/CCA.2009.5280999

J. Chang, Jia-Jie Shyu, Chien-Wen Cho

{"title":"Fuzzy rule inference based human activity recognition","authors":"J. Chang, Jia-Jie Shyu, Chien-Wen Cho","doi":"10.1109/CCA.2009.5280999","DOIUrl":"https://doi.org/10.1109/CCA.2009.5280999","url":null,"abstract":"Human activity recognition plays an essential role in e-health applications, such as automatic nursing home systems, human-machine interface, home care system, and smart home applications. Many of human activity recognition systems only used the posture of an image frame to classify an activity. But transitional relationships of postures embedded in the temporal sequence are important information for human activity recognition. In this paper, we combine temple posture matching and fuzzy rule reasoning to recognize an action. Firstly, a fore-ground subject is extracted and converted to a binary image by a statistical background model based on frame ratio, which is robust to illumination changes. For better efficiency and separability, the binary image is then trans-formed to a new space by eigenspace and canonical space transformation, and recognition is done in canonical space. A three image frame sequence, 5:1 down sampling from the video, is converted to a posture sequence by template matching. The posture sequence is classified to an action by fuzzy rules inference. Fuzzy rule approach can not only combine temporal sequence information for recognition but also be tolerant to variation of action done by different people. In our experiment, the proposed activity recognition method has demonstrated higher recognition accuracy of 91.8% than the HMM approach by about 5.4 %.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123943129","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: 25