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Wind Turbine Control with Multiple Model Predictive Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43870109" target="_blank" >RIV/70883521:28140/13:43870109 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wind Turbine Control with Multiple Model Predictive Control

  • Original language description

    In this work, model predictive control of a wind-turbine system is studied. The nonlinear process is represented by a set of local linear models which were linearized for different wind speeds. Since not all the states are measurable, operating point andactive local model are determined by effective wind speed estimation using an extended Kalman filter (EKF). The estimated states and active model parameters are then used within predictive control strategy for computation of control signals. Due to different control demands in different operating regimes of the wind turbine the weighting matrices are also scheduled for different wind speeds. Simulations show that the wind-turbine system can be successfully controlled by this methodology.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JE - Non-nuclear power engineering, energy consumption and utilization

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Recent, Advances in Automatic Control, Information and Communications 14th International Conference on Automation and Information (ICAI´13) 13th International Conference on Applied Informatics and Communications (AIC´13)

  • ISBN

    978-960-474-316-2

  • ISSN

    1790-5117

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    97-102

  • Publisher name

    WSEAS World Science and Engineering Academy and Science

  • Place of publication

    Atény

  • Event location

    Valencie

  • Event date

    Aug 6, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article