Universität Stuttgart

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Publication Type: search.filters.UBSTyp.KonferenzbeitragInstitute: search.filters.UBSInstitut.Sonstige EinrichtungStart date: 2000End date: 2009

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    eSciDoc-Anwendungen in der wissenschaftlichen Praxis in der MPG
    (2008) Renn, Jürgen; Voges, Wolfgang
    eSciDoc ist ein gemeinsames Projekt der Max-Planck-Gesellschaft und FIZ Karlsruhe. Entwickelt wird eine integrierte Publikations- und Kommunikationsplattform, die zentrale Facetten der wissenschaftlichen Arbeit unterstützt. - Informationsgewinnung - Aufbereitung und Auswertung - Informationsverbreitung und Speicherung eScidoc berücksichtigt wissenschaftliche Arbeiten sowohl im Labor wie auch am Schreibtisch, durchgeführt von Einzelnen oder in (verteilten) Gruppen, disziplinspezifisch oder interdisziplinär.
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    Modeling and identification of nonlinear systems using MIMO LEM-Hammerstein structure
    (2006) Schlipf, David; Bolognese Fernandes, Pedro; Trierweiler, Jorge O.
    This paper extends the LEM-Hammerstein models already presented in the literature to MIMO systems. Instead of linear time-invariant subsystems in association with static nonlinearities, LEM-Hammerstein and LEM-Wiener systems exhibit nonlinear static features and operating-point dependent dynamics, and can therefore model a broader class of system than the conventional block-oriented models. In order to avoid the problem of solving the partial differential equations necessary for the construction of the steady-state mapping that appears in the model, a modified controller normal form is proposed, and the model is constructed on the basis of an extended, non-minimal state-space realization. Moreover, the identification strategy already used with LEM systems can be applied in order to construct such models from experimental data, and the techniques destined for analysis and control of Hammerstein systems can be applied promptly. An application of these concepts to the modeling and identification is demonstrated in the numerical example of a level system constituted by six connected tanks.
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    Lidar technology for the German offshore test site "alpha ventus" - joint project in measurement development
    (2008) Rettenmeier, Andreas; Schlipf, David; Wächter, Matthias; Käsler, Yvonne; Mellinghoff, Harald; Siegmeier, Björn; Reeder, Lennard; Kühn, Martin
    This paper describes the content of the joint research project "Development of LiDAR measurement techniques for the German offshore test site" and its first results. The objective is to develop reliable and standardised remote sensing techniques for various new applications in the wind energy community and to support other RAVE1 projects at the German offshore test site "alpha ventus". The first measurement campaign dealt with the comparison of wind parameters measured by common anemometry in a height of up to 103 m and LiDAR data measured up to 220 m height. The first results show very good agreement when the two techniques are compared as to wind speed, wind direction and power curve determination at a 5 MW wind turbine. The status of the development of a wind field scanner for nacelle-based LiDAR measurements is described and an outlook to the forthcoming work is given.
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    eSciDoc infrastructure and solutions
    (2008) Razum, Matthias
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    Modeling and identification of nonlinear systems using SISO LEM-Hammerstein and LEM-Wiener model structures
    (2006) Bolognese Fernandes, Pedro; Schlipf, David; Trierweiler, Jorge O.
    This paper applies the concept of linearization around the equilibrium manifold (LEM) already presented in the literature in order to construct model structures that can be viewed as extensions of the conventional Wiener and Hammerstein models. Instead of linear time-invariant subsystems in association with static nonlinearities, these extensions exhibit variable dynamic character and can therefore model a broader class of systems than the conventional cited approaches. Moreover, the identification strategy already used with LEM systems can be applied in order to construct such models from experiments, and the techniques destined for analysis and control of Wiener and Hammerstein systems can be applied promptly. To application of these concepts to the modeling and identification is demonstrated with a numerical example, considering a heat exchange system.