Modelling and Predictive Control of an Evaporator using Local Model Network

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508847" target="_blank" >RIV/70883521:28140/10:63508847 - 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

Modelling and Predictive Control of an Evaporator using Local Model Network

Popis výsledku v původním jazyce

The application of fuzzy clustering and local models for modelling and control of an evaporator is studied in the paper. The main idea is based on development of the local linear models for the whole operating range of the controlled process. The numberof local models is iteratively increased until the modelling performance is reached. The position of the local model is obtained via clustering and parameters of the local models are identified using local least squares method. The nonlinear plant is then approximated by a set of locally valid sub-models, which are smoothly connected using the validity function. The parameters for the GPC controller are computed at each sampling interval from the linearization of LMN. The proposed identification and control method is illustrated by the simulation study on the evaporator.

Název v anglickém jazyce

Modelling and Predictive Control of an Evaporator using Local Model Network

Popis výsledku anglicky

The application of fuzzy clustering and local models for modelling and control of an evaporator is studied in the paper. The main idea is based on development of the local linear models for the whole operating range of the controlled process. The numberof local models is iteratively increased until the modelling performance is reached. The position of the local model is obtained via clustering and parameters of the local models are identified using local least squares method. The nonlinear plant is then approximated by a set of locally valid sub-models, which are smoothly connected using the validity function. The parameters for the GPC controller are computed at each sampling interval from the linearization of LMN. The proposed identification and control method is illustrated by the simulation study on the evaporator.

Druh

O - Ostatní výsledky

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/GP102%2F09%2FP243" target="_blank" >GP102/09/P243: Prediktivní řízení nelineárních systémů pomocí sítí lokálních modelů</a><br>

Návaznosti

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

Rok uplatnění

2010

Kód důvěrnosti údajů

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