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1st International Conference on Renewable Energies Offshore, RENEW 2014

作者： Camacho Questa, J.E. Requena Montejano, V. Polo, F. Moreno, L. Vanhnonacker, T. Stalaart, B. Karyotakis, A. Panagoiliopoulos, O. Karakassidis, V. Lang, Z.-Q. Roldán De La Cuadra, C. Murillo Calleja, M. Oses, I.E. Auer, G. Zalacain, I. Errea Mugica, J. Garcia Marquez, F.P. Pedegral, D. Lee, D. Hillmansen, S. Tricoli, P. Hajiabady, S. Fernando, G. Papaelias, Mayorkinos Ingeteam Service S.A Albacete Spain D2S International N.V Leuven Belgium TERNA Energy S.A Athens Greece Department of Automatic Control and Systems Engineering The University of Sheffield United Kingdom Indra Sistemas S.A Madrid Spain ACCIONA ENERGIA S.A Pamplona Spain ETSII Universidad De Castilla-La Mancha Ciudad Real Spain School of Electronics Engineering Kyungpook National University Daegu Korea Republic of School of Electronic Electrical and Computer Engineering The University of Birmingham United Kingdom School of Metallurgy and Materials The University of Birmingham United Kingdom

ISBN: (纸本)9781138028715

Condition monitoring (CM) and fault detection of the drive-train and power electronics are two very important tasks which are necessary in order to maintain the reliability of industrial wind turbines. Unexpected failures, expensive repair and downtime costs can be avoided or limited through effective remote CM technology. The consortium of the FP7 OPTIMUS project is involved in the development and demonstration of an integrated CM system based on a modular design, which enables reliable diagnosis and prognosis of the power electronic faults and drive-trains. CM systems have been installed onACCIONAAW-1500 wind turbines to continuously evaluate the condition of power electronics and drive-trains. Some of the key results and analysis methodologies employed are presented in this paper for the power converters. © 2015 Taylor & Francis group, London.

关键词： Wind turbines

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Educational Innovation: Interaction and Relationship Inside A Sub-Module

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Procedia - Social and Behavioral Sciences 2015年 186卷 395-400页

作者： Fernando Oterino-Echavarri Jose Manuel Lopez-Guede Ekaitz Zulueta Manuel Graña Department of Electronics University College of Engineering of Vitoria Basque Country University (UPV/EHU) C/Nieves Cano 12 01006 Vitoria-Gasteiz Spain Department of Systems Engineering and Automatic Control University College of Engineering of Vitoria Basque Country University (UPV/EHU) C/Nieves Cano 12 01006 Vitoria-Gasteiz Spain Computational Intelligence Group Basque Country University (UPV/EHU) Department of Computer Science and Artificial Intelligence Faculty of Informatics Basque Country University (UPV/EHU) Paseo Manuel de Lardizabal 1 20018 Donostia-San Sebastián Spain

In this paper authors will expose a work developed with the aim to submit an educational innovation project proposal to a competitive call for Educational Innovation Projects 2013-2015 of the Education Advisory Service of the Basque Country University (UPV/EHU, Spain). This project is being carried out in the Computer Structure and Computer Architecture sub-module of the Degree in Computer Management and Information systems engineering of the University College of engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU). The project is based on the active learning, more specifically, on cooperative learning. In this paper we have given deeper insight the dependencies between all the subjects belonging to the analyzed sub-module, which is composed of two subjects named Computer Structure and Computer Architecture. We have included in such analysis a previous subject named Principles of Digital systems Design, which does not belong to that sub-module, but plays an important role in the acquisition of the knowledge and competencies of the two previously referenced subjects.

关键词： Active Learning Cooperative Learning Computer engineering Computer Structure Computer Architecture

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Neurophysiological correlates in Mild Cognitive Impairment detected using group Independent Component Analysis

Neurophysiological correlates in Mild Cognitive Impairment d...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： John F. Ochoa Mariana Ruíz Diego Valle Jon Duque Carlos Tobón Joan F. Alonso A. Mauricio Hernández Miguel A. Mañanas Bioinstrumentation and Clinical Research Group Universidad de Antioquia UdeA Calle Medellin Colombia Antioquia's Neurocience Group Universidad de Antioquia UdeA Calle Medellin Colombia Department of Automatic Control and the Biomedical Engineering Research Centre of the Universitat Politecnica de Catalunya Barcelona Spain Bioinstrumentation and Clinical Research Group Bioengineering Program Universidad de Antioquia UdeA Calle 70 # 52-51 Medellin Colombia

Alzheimer's disease is the most prevalent cause of dementia. Mild Cognitive Impairment (MCI) is defined as a grey area between intact cognitive functioning and clinical dementia. Electroencephalography (EEG) has been used to identify biomarkers in dementia. Currently, there is a great interest in translating the study from raw signals to signal generators, trying to keep the relationship with neurophysiology. In the current study, EEG recordings during an encoding task were acquired in MCI subjects and healthy controls. Data was decomposed using group Independent Component Analysis (gICA) and the most neuronal components were analyzed using Phase Intertrial Coherence (PIC) and Phase shift Intertrial Coherence (PsIC). MCI subjects exhibited an increase of PIC in the theta band, while controls showed increase in PsIC in the alpha band. Correlation between PIC and PsIC and clinical scales were also found. Those findings indicate that the methodology proposed based in gICA can help to extract information from EEG recordings with neurophysiological meaning.

关键词： Electroencephalography Independent component analysis Dementia Time-frequency analysis Coherence

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Smart adaptive control of a solar collector field 19

Smart adaptive control of a solar collector field

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Juuso, Esko K. Yebra, Luis J. Control Engineering Laboratory Department of Process and Environmental Engineering University of Oulu FI-90014 Finland CIEMAT Plataforma Solar de Almería Automatic Control Group Crta. de Seńes s/n Tabernas Almería04200 Spain

ISBN: (纸本)9783902823625

Solar power plants collect available thermal energy in a usable form at the desired temperature range. Efficient operation requires a fast start-up and reliable operation in varying cloudy conditions without unnecessary shutdowns and start-ups. Fast and well damped linguistic equation (LE) controllers have been tested in Spain at a collector field, which uses parabolic-trough collectors to supply thermal energy in form of hot oil to an electricity generation system or a multi-effect desalination plant. control is achieved by means of varying the flow pumped through the pipes in the field during the operation. The nights and the heavy cloud periods need to come up with the storage. The smart LE controllers extend the operation to varying cloudy conditions and handle efficiently disturbances in energy demand. The predefined model-based adaptation techniques are combined with special features when needed. The intelligent state indicators react well to the changing operating conditions and can be used in smart working point control to further improve the operation in connection with the other energy sources. The controller reacts efficiently on the setpoint changes, clouds and load disturbances. The predictive braking action allows fast changes in control actions. The setpoint is achieved accurately with the new asymmetrical action. The working point can be chosen in a way which improves the efficiency of the energy collection. © IFAC.

关键词： controllers

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Adaptive FOCV-based control Scheme to improve the MPP Tracking Performance: an experimental validation

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IFAC Proceedings Volumes 2014年第3期47卷 4967-4971页

作者： A. Frezzetti S. Manfredi A. Suardi Automatic Control Group Department of Electrical Engineering and Technology Information (DIETI) University of Naples ”Federico II” IT Control and Power Group and Circuits and Systems Group Department of Electrical and Electronic Engineering Imperial College London UK

Nowadays the photovoltaic (PV) is one of the most renewable source device used in the harvesting system to support the life time of stand alone devices like sensor node. One of the most diffused method to increase the PV efficiency is the Fractional Open-Circuit Voltage (FOCV) that allows the PV to work around its estimated Maximum Power Point (MPP). To increase the solar harvesting system efficiency both static (in terms of efficiency) and dynamic (in terms of MPP tracking responsiveness) performances are of crucial interest. Most of works in the literature focus on improving the static system performance by giving a more accurate MPP estimation. In this paper, it is proposed a FOCV-based algorithm to improve system dynamic performance in terms of MPP tracking performance and energy conveyed to the load under varying solar irradiance conditions. The MPP system dynamically adapts the MPP estimation to the solar irradiance condition by mean of a ”smart timer” circuitry that continuously adjusts the operative frequency of the sample and hold component. A detailed hardware implementation description of a smart timer as well as a related analytical analysis used for component design are presented. An experimental validation and a comparison of the proposed approach than the standard FOCV based method are carried out. The results show the effectiveness of the proposed scheme in improving dynamic system performance in terms of tracking performance and timeless to convey solar energy to the load storage component (i.e. ultracapacitor).

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Abstracts from the 1st International Symposium on Decision Support in Anaesthesia and Intensive Care

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International journal of clinical monitoring and computing 2016年第1期14卷 49-68页

作者： D. Streifert N. Lutter E. Van der Vorst J. Mulier B. Schwilk U. Bothner R. Muche W. Friesdorf K. J. Ruskin A. F. de Geus G. E. Wiersma R. Huet H. Neuffer F. Fischer U. J. Christensen P. F. Jensen J. Jacobsen H. Ørding A. M. Brambrink V. Goel D. F. Hanley K. Becker H. D. Shaffner L. J. Martin N. V. Thakor R. C. Koehler R. J. Traystman M. Quintel M. Apin J. Martin M. Messelken R. Dieterle-Paterakis J. Hiller P. Milewski H. Gross U. Foehring N. Weiler B. Eberle W. Heinrichs W. Höltermann M. van Wickern D. M. Linton J. J. Ross D. G. Mason M. D. Pullman N. D. Edwards M. Doi R. J. Gajraj H. Mantzardis G. N. C. Kenny R. Markgraf G. Deutschinoff L. Pientka T. Scholten J. Maljers St. Walther A. Santevecci R. Ranieri Department of Anaesthesiology University of Erlangen-Nuernberg Erlangen Germany University Hospital Gasthuisberg B Leuven Belgium Department of Anaesthesiology University of Ulm Ulm Germany Yale University School of Medicine New Haven USA Department of Anesthesiology University Hospital Groningen RB The Netherlands Dept. Computer-Aided Circuit Design University of Erlangen-Nuernberg Erlangen Germany Dept. of Anaesthesiology Herlev Hospital University of Copenhagen Herlev Denmark Department of Anaesthesiology Johannes Gutenberg-University Medical School Mainz Germany The Johns Hopkins Medical Institution Baltimore USA Institut für Anästhesiolgie und operative Intensivmedizin Klinikum Mannheim Fakultät für klinische Medizin Universität Heidelberg Heidelberg Germany Department for Anaesthesiology and Intensive Care Medicine Hospital “Am Eichert” Goeppingen Germany Physikalisch-Technische Bundesanstalt Berlin Germany Klinik für Anaesthesiologie & Operative Intensivmedizin Klinikum Benjamin Franklin Freie Universitaet Berlin Berlin Germany Department of Anaesthesia and Intensive Care Medicine University Hospital Marburg Germany Medical Intensive Care Department of Medicine Hadassah Medical Organisation Jerusalem Israel Department of Anaesthetics University of Sheffield Northern General Hospital Sheffield UK Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK University Department of Anaesthesia HCI International Medical Centre Glasgow UK Department of Internal Medicine Allgemeines Krankenhaus für die Stadt Hagen University of Witten/Herdecke Witten Germany Plexus Medical Group Amsterdam Amsterdam The Netherlands Network Division USA Dept. of Anesthesiology and Intensive Care Università Cattolica del Sacro Cuore - Roma (Italy) Italy

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Multiobjective H2/H∞ synthesis via group-preserving scheme

Multiobjective H2/H∞ synthesis via group-preserving scheme

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26th Chinese control and Decision Conference, CCDC 2014

作者： Bin, Liu Sun, Jiuqiang Cui, Yangyang Wei, Li School of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD United Kingdom

ISBN: (纸本)9781479937066

In this article, we provide a numerical method for the mixed H2/H∞ synthesis minimizing the H2 norm of one transfer function while imposing restriction on H∞ norm of the other transfer function. The mixed H2/H∞ robust controller with degree constraint can be designed by solving the nonlinear equations, where a group-preserving scheme is introduced. Three examples are used to investigate the numerical characteristics of new proposed method, also illustrating the effective of the proposed technique. © 2014 IEEE.

关键词： Runge Kutta methods

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Embedding of nonlinear systems in a linear parameter-varying representation 19

Embedding of nonlinear systems in a linear parameter-varying...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Abbas, Hossam S. Tóth, Roland Petreczky, Mihály Meskin, Nader Mohammadpour, Javad Department of Electrical Engineering College of Engineering Qatar University PO Box 2713 Doha Qatar Control Systems Group Eindhoven University of Technology P.O. Box 513 Eindhoven5600 MB Netherlands Department of Computer Science and Automatic Control Ecole des Mines de Douai Douai59508 France Intelligent Control Systems Lab. College of Engineering University of Georgia AthensGA30602 United States Electrical Engineering Department Faculty of Engineering Assiut University Assiut Egypt

ISBN: (纸本)9783902823625

This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form. Based on the relative degree concept of NL systems, the states of a given NL representation are transformed to new coordinates that provide its normal form. In the SISO case, all nonlinearities of the original system are embedded in one NL function which is factorized to construct the LPV form. An algorithms is proposed for this purpose. The resulting transformation yields an LPV model where the scheduling parameter depends on the derivatives of the inputs and outputs of the system. In addition, if the states of the NL model can be measured or estimated, then the procedure can be modified to provide LPV models scheduled by these states. Examples are included for illustration. © IFAC.

关键词： State space methods

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Simulation of PMSM servo stiffness using control system parameters

Simulation of PMSM servo stiffness using control system para...

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2014 International Conference on Mechatronics and Intelligent Materials, MIM 2014

作者： Yin, Ming Ma, Yan Xue Bai, Li Juan Mechanical Engineering School Inner Mongolia University of Science and Technology Baotou 014010 China Automatic Control Device Department Inner Mongolia North Heavy Industries Group CO. Ltd Baotou 014030 China

ISBN: (纸本)9783038351412

Through the analysis of Permanent Magnet Synchronous Motor (PMSM) servo system, this paper is aimed to deduce the transfer function model of position output caused by the disturbance input, using the Matlab software for simulation calculation, and to analyze the change of the Bode diagram of the disturbance model when the control system parameter value changes. In addition, based on the analysis, the paper will identify the influence law of the external disturbance at different frequencies on the system servo stiffness. The simulation and analysis will show that adjusting the certain control system parameters can improve the system servo stiffness at different frequencies of the external disturbance. © (2014) Trans Tech Publications, Switzerland.

关键词： Bode diagrams

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Numerical control machine tool motion simulation and analysis of parts of the crawling phenomenon

Numerical control machine tool motion simulation and analysi...

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2014 International Conference on Mechatronics and Intelligent Materials, MIM 2014

作者： Yin, Ming Cheng, Wen Tong Bai, Li Juan Guo, Lan Lan Mechanical Engineering School Inner Mongolia University of Science and Technology Baotou 014010 China Automatic Control Device Department Inner Monglia North Heavy Industries Group CO. Ltd. Baotou 014030 China

ISBN: (纸本)9783038351412

NC machine creeping failure usually occurs in the mechanical part and feed servo system of NC machine tool feed system, because of low speed creeping phenomenon often depends on the characteristics of mechanical transmission parts. Crawling is generally due to transmission of machine tool stiffness is insufficient, friction and dynamic friction coefficient difference and friction damped oscillations caused by too small. This paper establishes the physical model and the mathematical model, through theoretical analysis and numerical simulation of machine movement components that crawl main reason, put forward to prevent the moving parts of the main measures of creeping. © (2014) Trans Tech Publications, Switzerland.

关键词： Stick-slip

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