MIMO Predictive Control of a Wind Turbine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43871438" target="_blank" >RIV/70883521:28140/14:43871438 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
MIMO Predictive Control of a Wind Turbine
Original language description
In this work, linear model predictive control of a nonlinear wind-turbine model is studied. The wind turbine process is represented by a set of local linear models which are obtained by piecewise linearization of the nonlinear mathematical model at different wind speeds. In order to provide zero steady-state off-set in case of a disturbance or model/plant mismatch the model is augmented with disturbance model. Estimates of the states and wind are obtained with Extended Kalman Filter (EKF). The estimatedwind is used for computation of weights of corresponding local models. Linear model parameters and estimated states 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 on the 5MW wind-turbine model in turbulent wind and comparison with baseline PI controller show that the wind-turbine system
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL of ENERGY and ENVIRONMENT
ISSN
2308-1007
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
1-10
UT code for WoS article
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EID of the result in the Scopus database
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