Open Access

ARTICLE

Model Identification and Control of Evapotranspiration for Irrigation Water Optimization

Wafa Difallah^1,2,*, Fateh Bounaama², Belkacem Draoui², Khelifa Benahmed³, Abdelkader Laaboudi⁴

1 Department of Exact Sciences, Normal Higher School of Bechar, 08000, Algeria
2 Laboratory of Energetic in Arid Zones, Faculty of Technology, Tahri Mohammed University of Bechar, 08000, Algeria
3 Department of Mathematics and Computer Science, Faculty of Exact Sciences, Tahri Mohammed University of Bechar, 08000, Algeria
4 Algerian Institute for Research in Agronomy, Experimental Station of Adrar, 01000, Algeria

* Corresponding Author: Wafa Difallah. Email:

Computers, Materials & Continua 2022, 70(1), 1749-1767. https://doi.org/10.32604/cmc.2022.019071

Received 31 March 2021; Accepted 12 May 2021; Issue published 07 September 2021

Abstract

Water conservation starts from rationalizing irrigation, as it is the largest consumer of this vital source. Following the critical and urgent nature of this issue, several works have been proposed. The idea of most researchers is to develop irrigation management systems to meet the water needs of plants with optimal use of this resource. In fact, irrigation water requirement is only the amount of water that must be applied to compensate the evapotranspiration loss. Penman-Monteith equation is the most common formula to evaluate reference evapotranspiration, but it requires many factors that cannot be available in many cases. This leads to a trend towards behavior model estimation. System identification with control is one of the most promising applications in this axis. The idea behind this proposal depends on three stages: First, the estimation of reference evapotranspiration (ET0) by a linear ARX model, where temperature, relative humidity, insolation duration and wind speed are used as inputs, and ET0 estimated by Penman-Monteith equation as output. The results show that the values estimated by this method were in good agreement with the measured data. The second part of this paper is to manage the quantity of water. For this purpose, two controllers are used for testing, lead-lag and PID. To adjust the first controller and optimize the choice of its parameters, Nelder-Mead algorithm is used. In the last part, a comparative study is done between the two used controllers.

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