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

Khang Le (1) , Romain Bourdais (1) , Hervé Guéguen (1)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes

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.

Domaines: Automatique / Robotique

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, 2014, 84, pp.352-359. ⟨10.1016/j.enbuild.2014.07.084⟩. ⟨hal-01101630⟩