Adaptive Predictive Control of Three -Tank - System

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508943" target="_blank" >RIV/70883521:28140/10:63508943 - 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

Adaptive Predictive Control of Three -Tank - System

Popis výsledku v původním jazyce

This paper is focused in application of a self - tuning predictive controller for real - time control of a three - tank - system laboratory model. The objective laboratory model is a two input - two output (TITO) nonlinear system. It is based on experience with authentic industrial control applications. The controller integrates a predictive control synthesis based on a multivariable state ? space model of the controlled system and an on ? line identification of an ARX model corresponding to the state ?space model. The used approach then combines both state ? space and input ? output models. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. Results of real-time experiments are also included.

Název v anglickém jazyce

Adaptive Predictive Control of Three -Tank - System

Popis výsledku anglicky

This paper is focused in application of a self - tuning predictive controller for real - time control of a three - tank - system laboratory model. The objective laboratory model is a two input - two output (TITO) nonlinear system. It is based on experience with authentic industrial control applications. The controller integrates a predictive control synthesis based on a multivariable state ? space model of the controlled system and an on ? line identification of an ARX model corresponding to the state ?space model. The used approach then combines both state ? space and input ? output models. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. Results of real-time experiments are also included.

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

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

Modelling, Identification, and Control

ISSN

1025-8973

e-ISSN

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Svazek periodika

29

Číslo periodika v rámci svazku

29

Stát vydavatele periodika

CA - Kanada

Počet stran výsledku

7

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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