Identification and Energy Efficient Control for a Building: Getting Inspired by MPC

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230735" target="_blank" >RIV/68407700:21230/15:00230735 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985556:_____/15:00446538

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ACC.2015.7170973" target="_blank" >http://dx.doi.org/10.1109/ACC.2015.7170973</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACC.2015.7170973" target="_blank" >10.1109/ACC.2015.7170973</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Identification and Energy Efficient Control for a Building: Getting Inspired by MPC

Popis výsledku v původním jazyce

This paper deals with identification of a building model based on real-life data and subsequent temperature controller design. For the identification, advanced identification technique - namely MPC Relevant Identification method - is used. This approachhas the capability of providing models with better prediction performance compared to the commonly used methods. Regarding the controller part, several alternatives are proposed. First, both linear and nonlinear MPC controlling the zone temperature are designed. Although highly attractive due to promising energetic savings and thermal comfort satisfaction, MPCs demand high computational power. To overcome this issue and preserve the attractive properties of the MPC, two MPC-learned feedback controllersare proposed, one learned from LMPC and the other learned from NMPC. While remaining computationally low-cost, they improve the performance of the classical controllers towards the high-performance MPC standards. The results exploiting da

Název v anglickém jazyce

Identification and Energy Efficient Control for a Building: Getting Inspired by MPC

Popis výsledku anglicky

This paper deals with identification of a building model based on real-life data and subsequent temperature controller design. For the identification, advanced identification technique - namely MPC Relevant Identification method - is used. This approachhas the capability of providing models with better prediction performance compared to the commonly used methods. Regarding the controller part, several alternatives are proposed. First, both linear and nonlinear MPC controlling the zone temperature are designed. Although highly attractive due to promising energetic savings and thermal comfort satisfaction, MPCs demand high computational power. To overcome this issue and preserve the attractive properties of the MPC, two MPC-learned feedback controllersare proposed, one learned from LMPC and the other learned from NMPC. While remaining computationally low-cost, they improve the performance of the classical controllers towards the high-performance MPC standards. The results exploiting da

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2015 American Control Conference

ISBN

978-1-4799-8684-2

ISSN

0743-1619

e-ISSN

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Počet stran výsledku

6

Strana od-do

1671-1676

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Chicago

Datum konání akce

1. 7. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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