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Stochastic Model Predictive Control for Building Climate Control
KTH, School of Electrical Engineering (EES), Automatic Control.
2014 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 22, no 3, 1198-1205 p.Article in journal (Refereed) Published
Abstract [en]

In this brief paper, a Stochastic Model Predictive Control formulation tractable for large-scale systems is developed. The proposed formulation combines the use of Affine Disturbance Feedback, a formulation successfully applied in robust control, with a deterministic reformulation of chance constraints. A novel approximation of the resulting stochastic finite horizon optimal control problem targeted at building climate control is introduced to ensure computational tractability. This work provides a systematic approach toward finding a control formulation which is shown to be useful for the application domain of building climate control. The analysis follows two steps: 1) a small-scale example reflecting the basic behavior of a building, but being simple enough for providing insight into the behavior of the considered approaches, is used to choose a suitable formulation; and 2) the chosen formulation is then further analyzed on a large-scale example from the project OptiControl, where people from industry and other research institutions worked together to create building models for realistic controller comparison. The proposed Stochastic Model Predictive Control formulation is compared with a theoretical benchmark and shown to outperform current control practice for buildings.

Place, publisher, year, edition, pages
2014. Vol. 22, no 3, 1198-1205 p.
Keyword [en]
Affine disturbance feedback (ADF), building climate control, chance constraints, Stochastic model predictive control (SMPC)
National Category
Control Engineering Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-145812DOI: 10.1109/TCST.2013.2272178ISI: 000335220600038Scopus ID: 2-s2.0-84899930949OAI: oai:DiVA.org:kth-145812DiVA: diva2:721528
Note

QC 20140604

Available from: 2014-06-04 Created: 2014-06-02 Last updated: 2017-12-05Bibliographically approved

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CiteExportLink to record
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  • apa
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  • de-DE
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