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Building energy consumption flatness-based control using algebraic on-line estimation

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Abstract

A new model-based on-line control of building energy consumption with no drawbacks related to the thermal model or the unplanned changes (occupation, exterior temperature, …) is presented in this paper. The main theoretical tools of this method are the flatness-based control and the recent new setting of numerical differentiation for fast and on-line parameter estimation. Indeed the estimation techniques form an added value in terms of the reliability of the thermal model. Furthermore, the main advantage of using the differential flatness control scheme is that the system behavior can be described by the trajectory of a so-called flat output and a number of its successive time derivatives. This leads to a simple design of the control strategy without the integration of any differential equations. Numerical simulations as well as comparative studies with a classical PID (proportional-integral-derivative) controller are provided to demonstrate the relevance of the proposed approach.

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Acknowledgments

The authors would like to thank M. Fliess and C. Join for helpful discussions and fruitful explanations for the implementation of the numerical differentiation methods.

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Authors and Affiliations

  1. Laboratoire Génie Civil et géo-Environnement(LGCgE)(EA 4515), IUT Béthune, Universit d’Artois, Béthune, France

    Alhaj Hasan Ola

  2. Laboratoire de Génie Informatique et d’Automatique de l’Artois(LGI2A)(EA 3926), Technoparc Futura, IUT de Béthune Université d’Artois, Béthune, France

    Abouaïssa Hassane

  3. Laboratoire Génie Civil et géo-Environnement(LGCgE)(EA 4515), Polytech’Lille, Lille 1 University, Lille, France

    Shahrour Isam

  4. Laboratoire Génie Civil et géo-Environnement(LGCgE)(EA 4515), Faculty of Applied Sciences, Université d’Artois, Béthune, France

    Defer Didier

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Ola, A.H., Hassane, A., Isam, S. et al. Building energy consumption flatness-based control using algebraic on-line estimation. Energy Efficiency 10, 657–671 (2017). https://doi.org/10.1007/s12053-016-9479-y

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