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DOI: 10.14569/IJACSA.2018.090147
PDF

Comparison between Two Adaptive Controllers Applied to Greenhouse Climate Monitoring

Author 1: Mohamed Essahafi
Author 2: Mustapha Ait Lafkih

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 1, 2018.

  • Abstract and Keywords
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Abstract: This paper presents a study of a multivariable Adaptive Generalized Predictive Controller and its application to control the thermal behaviour of an agricultural greenhouse, which is composed of a number of different elements (cover, internal air, plants, soil, actuators and sensors). The thermal model was obtained after the study of energy balances reacting the physical behavior of the greenhouse. For this reason, we opted to estimate the dynamic model of the greenhouse with algorithm based on recursive least squares (RLS) method. Simulation results are exposed to show the controller’s performances in terms of response time, stability and the rejection of disturbances.

Keywords: Generalized predictive control; greenhouse; multivariable control; identification; recursive least square

Mohamed Essahafi and Mustapha Ait Lafkih, “Comparison between Two Adaptive Controllers Applied to Greenhouse Climate Monitoring” International Journal of Advanced Computer Science and Applications(IJACSA), 9(1), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090147

@article{Essahafi2018,
title = {Comparison between Two Adaptive Controllers Applied to Greenhouse Climate Monitoring},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090147},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090147},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {1},
author = {Mohamed Essahafi and Mustapha Ait Lafkih}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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