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.

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}
}