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Research Article | Open Access |

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) · Vol. 9, No. 1 · Published 2018 · Cited by 5

DOI: https://doi.org/10.14569/IJACSA.2018.090147

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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

How to Cite this Article

Essahafi, M., & Lafkih, M. A. (2018). Comparison between Two Adaptive Controllers Applied to Greenhouse Climate Monitoring. International Journal of Advanced Computer Science and Applications, 9(1). https://doi.org/10.14569/IJACSA.2018.090147

Essahafi, Mohamed, and Mustapha Ait Lafkih. "Comparison between Two Adaptive Controllers Applied to Greenhouse Climate Monitoring." International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018, https://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},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Mohamed Essahafi and Mustapha Ait Lafkih},
  doi       = {10.14569/IJACSA.2018.090147},
  url       = {https://doi.org/10.14569/IJACSA.2018.090147}
}

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