灌溉水优化蒸散发模型辨识与控制

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI:10.32604/cmc.2022.019071
Wafa Difallah, F. Bounaama, B. Draoui, Khelifa Benahmed, A. Laaboudi
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引用次数: 0

摘要

节约用水从合理灌溉开始,因为灌溉是这一重要水源的最大消耗者。鉴于这一问题的重要性和紧迫性,提出了一些工作建议。大多数研究人员的想法是开发灌溉管理系统,以满足植物对水的需求,并优化利用这一资源。实际上,灌溉需水量只是为补偿蒸散损失而必须施用的水量。Penman-Monteith方程是最常用的计算参考蒸散量的公式,但它需要很多因素,而这些因素在很多情况下是无法获得的。这导致了行为模型估计的趋势。具有控制的系统识别是该轴中最有前途的应用之一。该建议背后的思想取决于三个阶段:首先,通过线性ARX模型估计参考蒸散发(ET0),其中以温度、相对湿度、日照持续时间和风速作为输入,并以Penman-Monteith方程估计ET0作为输出。结果表明,该方法的估算值与实测数据吻合较好。本文的第二部分是水量管理。为此,两个控制器用于测试,超前滞后和PID。采用Nelder-Mead算法对第一控制器进行调整并优化其参数的选择。最后,对两种常用控制器进行了比较研究。
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Model Identification and Control of Evapotranspiration for Irrigation Water Optimization
: 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 applicationsin 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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来源期刊
Cmc-computers Materials & Continua
Cmc-computers Materials & Continua 工程技术-材料科学:综合
CiteScore
5.30
自引率
19.40%
发文量
345
审稿时长
1 months
期刊介绍: This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials. Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.
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