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A hierarchical distributed MPC for HVAC systems
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0001-9940-5929
2016 (English)In: Proceedings of the American Control Conference, 2016, 2385-2390 p.Conference paper (Refereed)
Abstract [en]

In this paper a hierarchical distributed model predictive control scheme is proposed for heating, ventilation and air-conditioning (HVAC) systems in buildings. The building consists in multiple connected rooms and zones. The control objective is to keep the temperature of each room and zone at a given comfortable level with minimal energy consumption. This control scheme is divided into two levels. The upper level controller collects temperature and predictive information of all rooms and zones to generate reference trajectories while a lower level controller only uses local information to track the reference and optimize energy efficiency and thermal comfort. By using a contraction property of building's dynamics, recursive feasibility of the proposed algorithm is guaranteed. Simulation results are given to show the performance of our proposed control strategy.

Place, publisher, year, edition, pages
2016. 2385-2390 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-202180DOI: 10.1109/ACC.2016.7525274ScopusID: 2-s2.0-84992063483ISBN: 9781467386821 OAI: oai:DiVA.org:kth-202180DiVA: diva2:1077289
Conference
2016 American Control Conference, ACC 2016, 6 July 2016 through 8 July 2016
Note

QC 20170227

Available from: 2017-02-27 Created: 2017-02-27 Last updated: 2017-02-27Bibliographically approved

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Publisher's full textScopushttp://acc2016.a2c2.org/

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Citation style
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