MIMO Predictive Control of a Wind Turbine

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

MIMO Predictive Control of a Wind Turbine

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

MIMO Predictive Control of a Wind Turbine

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JE - Nejaderná energetika, spotřeba a užití energie

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: Centrum bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</a><br>

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

INTERNATIONAL JOURNAL of ENERGY and ENVIRONMENT

ISSN

2308-1007

e-ISSN

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Svazek periodika

8

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

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EID výsledku v databázi Scopus

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