Multiple model modeling and predictive control of the pH neutralization process

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43865498" target="_blank" >RIV/70883521:28140/11:43865498 - 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

Multiple model modeling and predictive control of the pH neutralization process

Popis výsledku v původním jazyce

The requirement for improved efficiency and safety induce the need for sophisticated control systems. Model predictive control represents such control method which makes explicit use of a model of the process to obtain the control signal. The performanceof control algorithm depends on the quality of the derived model. A possible approach is to decompose the nonlinear dynamics into multiple linear models and switch or interpolate them based on the current operating conditions. Multiple models structurefor modeling and control allow the transfer of many methods from the linear control theory to the nonlinear systems. The process operations are partitioned into several operating regions and within each region, a local linear model is developed to approximate the process. To save on computational load, a linear model is obtained by interpolating these linear models at each sample point and then obtained model is used in a Generalized Predictive Control (GPC) framework.

Název v anglickém jazyce

Multiple model modeling and predictive control of the pH neutralization process

Popis výsledku anglicky

The requirement for improved efficiency and safety induce the need for sophisticated control systems. Model predictive control represents such control method which makes explicit use of a model of the process to obtain the control signal. The performanceof control algorithm depends on the quality of the derived model. A possible approach is to decompose the nonlinear dynamics into multiple linear models and switch or interpolate them based on the current operating conditions. Multiple models structurefor modeling and control allow the transfer of many methods from the linear control theory to the nonlinear systems. The process operations are partitioned into several operating regions and within each region, a local linear model is developed to approximate the process. To save on computational load, a linear model is obtained by interpolating these linear models at each sample point and then obtained model is used in a Generalized Predictive Control (GPC) framework.

Druh

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

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

2011

Kód důvěrnosti údajů

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

Název periodika

International Journal of Mathematical Models and Methods in Applied Science

ISSN

1998-0140

e-ISSN

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Svazek periodika

5

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

1170-1179

Kód UT WoS článku

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EID výsledku v databázi Scopus

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