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Hardware-In-the-Loop Simulations of a GPC-Based Controller in Different Types of Buildings Using Node-RED

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Advanced, Contemporary Control

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1196))

Abstract

This paper presents the outcome of a project aiming at the development of a building simulator designed using Matlab® and Simulink® environments. The objective was to be able to test different control algorithms using the hardware-in-the-loop principle in a fast, flexible and effective way. The developed software allows one to simulate continuous dynamics of particular parameters in various time horizons, including a whole year simulation. The simulator has been used to test one of the model predictive control algorithms, implemented in the Node-RED environment and installed on the Beaglebone Black board.

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References

  1. Andersen, K.K., Madsen, H., Hansen, L.H.: Modelling the heat dynamics of a building using stochastic differential equations. Energy Build. 31(1), 13–24 (2000). https://doi.org/10.1016/S0378-7788(98)00069-3

    Article  Google Scholar 

  2. Lawrynczuk, M.: Accuracy and computational efficiency of suboptimal nonlinear predictive control based on neural models. Appl. Soft Comput. 11(2), 2202–2215 (2011). https://doi.org/10.1016/j.asoc.2010.07.021

    Article  Google Scholar 

  3. Lawrynczuk, M.: Suboptimal nonlinear predictive control based on multivariable neural Hammerstein models. Appl. Intell. 32(2, SI), 173–192 (2010). https://doi.org/10.1007/s10489-010-0211-x

  4. Jabłoński, K., Grychowski, T.: Fuzzy inference system for the assessment of indoor environmental quality in a room. Indoor Built Environ. 27(10), 1415–1430 (2018). https://doi.org/10.1177/1420326X17728097

    Article  Google Scholar 

  5. Hudson, G., Underwood, C.: A simple building modelling procedure for MATLAB/SIMULINK. In: Proceedings of the International Building Performance and Simulation Conference, Kyoto Japan, vol. 2, pp. 777–783. Citeseer (1999)

    Google Scholar 

  6. Perera, D., Winkler, D., Skeie, N.O.: Multi-floor building heating models in MATLAB and Modelica environments. Appl. Energy 171, 46–57 (2016). https://doi.org/10.1016/j.apenergy.2016.02.143

    Article  Google Scholar 

  7. Freitas, S., Catita, C., Redweik, P., Brito, M.: Modelling solar potential in the urban environment: State-of-the-art review. Renew. Sustain. Energy Rev. 41, 915–931 (2015). https://doi.org/10.1016/j.rser.2014.08.060

    Article  Google Scholar 

  8. Lawrynczuk, M.: Nonlinear state-space predictive control with on-line linearisation and state estimation. Int. J. Appl. Math. Comput. Sci. 25(4), 833–847 (2015). https://doi.org/10.1515/amcs-2015-0060

    Article  MathSciNet  MATH  Google Scholar 

  9. Söderström, T., Stoica, P.: System Identification. Prentice Hall International, Inc., New York (1989)

    MATH  Google Scholar 

  10. Bismor, D.: Extension of LMS stability condition over a wide set of signals. Int. J. Adapt. Control Signal Process. 29(5), 653–670 (2015). https://doi.org/10.1002/acs.2500

  11. Bismor, D., Pawelczyk, M.: Stability conditions for the leaky LMS algorithm based on control theory analysis. Arch. Acoust. 41(4), 731–740 (2016). https://doi.org/10.1515/aoa-2016-0070

    Article  Google Scholar 

  12. Node-red (2019). https://nodered.org/

  13. N-API documentation (2019). https://nodejs.org/api/n-api.html

Download references

Acknowledgment

The work described in this paper is within the project “Synergiczny system automatyki budynkowej zintegrowany z układami optymalizacji komfortu i klimatu w budynkach—SSAB”, which is co-sponsored by WND-RPSL.01.02.00-24-0853/17-001, Regional Operating Program for Silesian Voivodship for years 2014–2020.

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Authors and Affiliations

  1. Silesian University of Technology, ul. Akademicka 2A, 44-100, Gliwice, Poland

    Dariusz Bismor, Karol Jabłoński, Tomasz Grychowski & Sławomir Nas

Authors
  1. Dariusz Bismor
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  2. Karol Jabłoński
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  3. Tomasz Grychowski
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  4. Sławomir Nas
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Corresponding author

Correspondence to Dariusz Bismor .

Editor information

Editors and Affiliations

  1. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Andrzej Bartoszewicz

  2. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Jacek Kabziński

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Bismor, D., Jabłoński, K., Grychowski, T., Nas, S. (2020). Hardware-In-the-Loop Simulations of a GPC-Based Controller in Different Types of Buildings Using Node-RED. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds) Advanced, Contemporary Control. Advances in Intelligent Systems and Computing, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-50936-1_85

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