From hybrid model predictive control to logical control for shading system: A support vector machine approach

Abstract : This paper deals with the control of the blind system for building to prevent the thermal discomfort, which may occur during mid-season and summer. In the first part of this article, the problem is formulated with a Hybrid Model Predictive Control approach. However, the implementation of this solution on an industrial product remains a big challenge due to the limited computing capacity of this latter. As a result, we propose in the second part a logical controller whose rules and parameters are based on a learning from the behavior of the optimal controller using support vector machine (SVMs). In addition, we aim to demonstrate the importance of a proper selection of the measurements for the learning problem. In the last part, various simulations are performed with SIMBAD, a Matlab toolbox dedicated to building simulation, to assess the performance of the learned controller.
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https://hal-supelec.archives-ouvertes.fr/hal-01101630
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Submitted on : Friday, January 9, 2015 - 10:54:29 AM
Last modification on : Friday, November 16, 2018 - 1:25:56 AM

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Khang Le, Romain Bourdais, Hervé Guéguen. From hybrid model predictive control to logical control for shading system: A support vector machine approach. Energy and Buildings, Elsevier, 2014, 84, pp.352-359. ⟨10.1016/j.enbuild.2014.07.084⟩. ⟨hal-01101630⟩

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