E3S Web Conf.
Volume 229, 2021The 3rd International Conference of Computer Science and Renewable Energies (ICCSRE’2020)
|Number of page(s)||7|
|Published online||25 January 2021|
Constrained Discrete Model Predictive Control of a Greenhouse Relative Humidity
Modelling, Materials and Control of Systems Team, High School of Technology, Moulay Isma¨ıl University, Meknes, Morocco
2 Energy and Sustainable Development Research Team, High School of Technology, Ibn Zohr University, Guelmim, Morocco
In this paper, we present a Constrained Discete Model Predictive Control (CDMPC) strategy application for relative humidity control. In this sense, and for our system inside humidity dynamics description, a green-house prototype is engaged and a state space form which fits properly a set of collected data of the greenhouse humidity dynamics is presented as mathematical model. This latest is used for the CDMPC starategy application, which purpose is to select the best control moves based on an optimization procedure regarding the constraints on the control. By the means of Matlab/ Simulink and Yalmip toolbox algorithms, numerical simulations were held to proove the effectiveness of the controller, garanteeing both the constraints feasibility and system stability.
Key words: greenhouse / relative humidity / constrained linear system / model predictive control / yalmip / optimization
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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