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

0446538 - ÚTIA 2016 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Žáčeková, E. - Pčolka, M. - Tabaček, J. - Těžký, J. - Robinett, R. - Čelikovský, Sergej - Šebek, M.
Identification and Energy Efficient Control for a Building: Getting Inspired by MPC.
Proceedings of the American Control Conference 2015. Chicago, IL: IEEE, 2015, s. 1671-1676. ISBN 978-1-4799-8684-2. ISSN 0743-1619.
[American Control Conference (ACC), 2015. Chicago (US), 01.07.2015-03.07.2015]
Grant CEP: GA ČR GA13-20433S
Institucionální podpora: RVO:67985556
Klíčová slova: Identification * Model predictive control * Building climate control
Kód oboru RIV: BC - Teorie a systémy řízení

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 approach has 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 controllers are 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.
Trvalý link: http://hdl.handle.net/11104/0248528