Evaluation of a simplified multi model predictive controller for a three stage power plant superheater based on projection of controller output onto the admissible set
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F13%3A%230002398" target="_blank" >RIV/46747885:24220/13:#0002398 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/ICSTCC.2013.6688970" target="_blank" >http://dx.doi.org/10.1109/ICSTCC.2013.6688970</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSTCC.2013.6688970" target="_blank" >10.1109/ICSTCC.2013.6688970</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evaluation of a simplified multi model predictive controller for a three stage power plant superheater based on projection of controller output onto the admissible set
Popis výsledku v původním jazyce
Research focused on model predictive control (MPC) with low computational demands and good real time predictability usually exploits the properties of the explicit model predictive control. However, if the control problem is complex and the number of constraints and free control moves is high, explicit MPC can be even worse in the terms of computation time and real time predictability than standard MPC using on-line optimization. The purpose of this paper is to evaluate the application potential of a different approach to MPC with low computational demands: constraining the controller output by projection. This method was proposed by Tatjewski several years ago. However, it has found relatively little application. In this paper this method is extendedto the case of switched multi linear MPC and evaluated using a case study of MPC control of a three stage power plant superheater. It is shown that even in the case of this relatively complex controlled plant, this simple method is able t
Název v anglickém jazyce
Evaluation of a simplified multi model predictive controller for a three stage power plant superheater based on projection of controller output onto the admissible set
Popis výsledku anglicky
Research focused on model predictive control (MPC) with low computational demands and good real time predictability usually exploits the properties of the explicit model predictive control. However, if the control problem is complex and the number of constraints and free control moves is high, explicit MPC can be even worse in the terms of computation time and real time predictability than standard MPC using on-line optimization. The purpose of this paper is to evaluate the application potential of a different approach to MPC with low computational demands: constraining the controller output by projection. This method was proposed by Tatjewski several years ago. However, it has found relatively little application. In this paper this method is extendedto the case of switched multi linear MPC and evaluated using a case study of MPC control of a three stage power plant superheater. It is shown that even in the case of this relatively complex controlled plant, this simple method is able t
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
BC - Teorie a systémy řízení
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/TA02020109" target="_blank" >TA02020109: Prediktivní řídicí systém pro zlepšení stability a zvýšení účinnosti elektrárenských bloků</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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 statě ve sborníku
17TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC)
ISBN
978-1-4799-2228-4
ISSN
—
e-ISSN
—
Počet stran výsledku
7
Strana od-do
262-268
Název nakladatele
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Místo vydání
NEW YORK
Místo konání akce
Sinaia, Romania
Datum konání akce
1. 1. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000330660500043