Control algorithms with suppression of measurable disturbances: Comparison of two methods
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869712" target="_blank" >RIV/70883521:28140/13:43869712 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/70883521:28610/13:43869712
Výsledek na webu
<a href="http://www.wseas.org/multimedia/journals/control/2013/045702-199.pdf" target="_blank" >http://www.wseas.org/multimedia/journals/control/2013/045702-199.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Control algorithms with suppression of measurable disturbances: Comparison of two methods
Popis výsledku v původním jazyce
Many processes are affected by external disturbances caused by the variation of variables that can be measured. This paper compares two control strategies which are suitable for rejection of measurable disturbances. The first method which can successfully handle known measurable disturbances is model predictive control (MPC). Known disturbances can be taken explicitly into account in predictive control. Two different approaches to computation of multi-step-ahead predictions incorporating known measurable disturbances into prediction equations are proposed. The second control algorithm is designed using polynomial theory developed for linear controlled systems. Both methods are based on a same model of a controlled process. Simulation results are also included and quality of control achieved by both methods is compared and discussed.
Název v anglickém jazyce
Control algorithms with suppression of measurable disturbances: Comparison of two methods
Popis výsledku anglicky
Many processes are affected by external disturbances caused by the variation of variables that can be measured. This paper compares two control strategies which are suitable for rejection of measurable disturbances. The first method which can successfully handle known measurable disturbances is model predictive control (MPC). Known disturbances can be taken explicitly into account in predictive control. Two different approaches to computation of multi-step-ahead predictions incorporating known measurable disturbances into prediction equations are proposed. The second control algorithm is designed using polynomial theory developed for linear controlled systems. Both methods are based on a same model of a controlled process. Simulation results are also included and quality of control achieved by both methods is compared and discussed.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
BC - Teorie a systémy řízení
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
WSEAS Transactions on Systems and Control
ISSN
1991-8763
e-ISSN
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Svazek periodika
8
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
GR - Řecká republika
Počet stran výsledku
11
Strana od-do
94-104
Kód UT WoS článku
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EID výsledku v databázi Scopus
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