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An Explicit Solution for the Optimal
Control of Greenhouse Temperature relying on Embedded
System
I. Laribi Maatoug, R.Mhiri Abstract This paper presents an "explicit predictive control" with optimal performances of the heating system in a greenhouse. The main contribution of this work is to provide an offline solution of modeling and optimization in order to implement the control over a simple micro-controller without the need for computer. Based on a multi-model description of the temperature in a greenhouse, we represent this system in the Mixed Logical Dynamical (MLD) form using the modeling language (HYSDEL); once the MLD model of the system is determined, the equivalent Piecewise Affine (PWA) model is generated directly. The optimal control profile is a piecewise affine and continuous function based on a PWA model and an Explicit Model Predictive Controller , the aim of this control is to keep the temperature into a defined range, and in the same time reducing consumption and optimizing the number of switching of the heating control. Simulations with the proposed approach are presented and compared to the existing control; the results indicate a reduction of consumption between 17 and 44% according to the value of external temperature while the correspondent number of switching remains in acceptable margins Keywords: Agricultural Greenhouse, Predictive control, Hybrid modeling: MLD and PWA, Predictive control, optimal control.
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Biography:
BibTex @ARTICLE{P1110812004,
AUTHOR = {I. Laribi Maatoug,
R.Mhiri},
TITLE = {An Explicit Solution for the Optimal Control of Greenhouse Temperature relying on Embedded System}, JOURNAL = {ICGST International Journal on Automatic Control and Systems Engineering, ACSE}, YEAR = {2008}, VOLUME = {08}, ISSUE = {I},
PAGES={27--34}
}
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