Control PI neuro-adaptable en tiempo real de la humedad en el suelo usando un modelo híbrido

  1. Gomez, Juan 1
  2. Rossomando, Francisco
  3. Capraro, Flavio
  4. Soria, Carlos
  1. 1 Universidad Nacional de San Juan
    info

    Universidad Nacional de San Juan

    Ciudad de San Juan, Argentina

    ROR https://ror.org/02rsnav77

Journal:
Revista iberoamericana de automática e informática industrial ( RIAI )

ISSN: 1697-7920

Year of publication: 2023

Volume: 20

Issue: 1

Pages: 93-103

Type: Article

DOI: 10.4995/RIAI.2022.17106 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista iberoamericana de automática e informática industrial ( RIAI )

Abstract

In the agriculture developed in the mountain valleys of Argentina, the efficient use of water for irrigation is essential for the development and sustainability of agricultural enterprises. In order to address this challenge, it is proposed to develop a hybrid model to represent as faithfully as possible the dynamics of water content in an irrigated soil, including water extraction by a crop. For this purpose, a mathematical model of the process is formulated based on the general flow equation, which has been solved by means of finite differences. A radial-based neural network is incorporated into this structure to compensate off-line the model output at a point on the ground, identifying the output error. In addition, this study incorporates the design of an adaptive irrigation controller for unknown dynamics. The design is based on sliding surfaces in combination with PI and neural networks, with  the goal of control objective is to maintain the soil water content at reference values setting. 

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