Modeling and control in open-channel irrigation systems: A review

Conde, Gregory; Quijano, Nicanor; Ocampo‐Martínez, Carlos

doi:10.1016/j.arcontrol.2021.01.003

Cited by 32 publications

(14 citation statements)

References 152 publications

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“…In order to address this issue, multiple control-oriented models have been reported in the literature. In [22] an overview of the reported control-oriented models is given, where these models have been classified in: i) models that come from analytical simplifications of the SVE (simplified models); and, ii) models that come from approximations, observations, and assumptions of the dynamic behavior of the OCIS (approximated models). In the simplified models, most of the nonlinear OCIS relations are neglected during the simplification process, where linearization procedures are usually performed.…”

Section: Problem Statementmentioning

confidence: 99%

Detection, Isolation, and Magnitude Estimation of Unknown Flows in Open-Channel Irrigation Systems

2021

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The development of modeling and estimation strategies, useful for determining the magnitude and location of unknown flows such as seepage and leaks, appears as a valuable tool to increase the efficiency of the open-channel irrigation systems (OCIS). However, it has been identified that in OCIS, most of the strategies reported on detection, isolation, and magnitude estimation of unknown flows (DIMEUF) have been developed from linear models that do not include information about energy balances along the channels, where these balances are fundamental to differentiate changes of levels due to conduction effects, from changes of levels due to unknown flows. Therefore, in this work, a recent OCIS modeling approach, which includes mass and energy balances for each channel and non-linear hydraulic descriptions of the flows, is explored in the development of two strategies for DIMEUF based on the moving horizon estimation (MHE) approach. The first strategy is deterministic, designed under the assumption that by filtering of the measurements, the noise can be sufficiently attenuated. Therefore, the noise information is not included in the design process. On the other hand, the second strategy is stochastic, and includes remaining noise information in the design process. The developed strategies have been tested using data from a testbed implemented in a specialized software, and the results show that, in a large operation region, the proposed strategies are capable of accurately describe the channel behavior and unknown flows, and that the inclusion of the remaining noise information increases the performance of the strategies for DIMEUF.

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Section: Problem Statementmentioning

confidence: 99%

Detection, Isolation, and Magnitude Estimation of Unknown Flows in Open-Channel Irrigation Systems

2021

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“…Para ello, es posible manipular estructuras como las compuertas que separan los tramos del canal, regulando así el flujo y los niveles de agua en las secciones aguas arriba y aguas abajo del canal (Figura 6). Pese al buen desempeño de los métodos de control automático para canales de riego (Negenborn et al, 2009;Zafra-Cabeza et al, 2011;Fele et al, 2014;Conde et al, 2021), la operación manual prevalece debido a los altos costos de instalación y mantenimiento de la instrumentación, especialmente en países no desarrollados, por lo que no es infrecuente que haya operadores viajando a lo largo del canal para ajustar las compuertas en función de las entregas de agua programadas. Como consecuencia, los agricultores tienen que adaptar sus cultivos al rendimiento de la operación manual, llegando incluso a explotar recursos hídricos subterráneos para obtener agua dulce adicional.…”

Section: Operador Como Sensor-actuador Móvilunclassified

Control predictivo de sistemas ciberfísicos

Maestre

Chanfreut

Martín

et al. 2021

Rev. iberoam. autom. inform. ind.

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El control predictivo engloba a una familia de controladores que replanifican continuamente las entradas del sistema durante un cierto horizonte temporal con el fin de optimizar su evolución esperada conforme a un criterio dado. Esta metodología tiene entre sus retos actuales la adaptación al paradigma de los llamados sistemas ciberfísicos, que están compuestos por computadoras, sensores, actuadores y entidades físicas de diversa índole entre las que se incluyen robots e incluso seres humanos que intercambian información con el objetivo de controlar procesos físicos. Este tutorial presenta los conceptos centrales de la integración del control predictivo en este tipo de sistemas mediante el repaso a una serie de ejemplos que explotan la versatilidad de este marco de diseño de controladores para resolver los desafíos que presentan las aplicaciones del siglo XXI.

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“…The problem of irrigation can be divided into two subproblems, i.e., water transportation and water usage. In this review article, the focus is put on the latter subject, since a complete review about water transportation was recently published [18], where the authors presented a comprehensive description of an open-channel system that included modeling and control features. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling of Crop–Soil Systems to Design Monitoring and Automatic Irrigation Processes: A Review with Worked Examples

Lopez-Jimenez

Wouwer

Quijano

2022

Water

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The smart use of water is a key factor in increasing food production. Over the years, irrigation has relied on historical data and traditional management policies. Control techniques have been exploited to build automatic irrigation systems based on climatic records and weather forecasts. However, climate change and new sources of information motivate better irrigation strategies that might take advantage of the new sources of information in the spectrum of systems and control methodologies in a more systematic way. In this connection, two open questions deserve interest: (i) How can one deal with the space–time variability of soil conditions? (ii) How can one provide robustness to an irrigation system under unexpected environmental change? In this review, the different elements of an automatic control system are described, including the mathematical modeling of the crop–soil systems, instrumentation and actuation, model identification and validation from experimental data, estimation of non-measured variables and sensor fusion, and predictive control based on crop–soil and weather models. An overview of the literature is given, and several specific examples are worked out for illustration purposes.

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Modeling and control in open-channel irrigation systems: A review

Cited by 32 publications

References 152 publications

Detection, Isolation, and Magnitude Estimation of Unknown Flows in Open-Channel Irrigation Systems

Detection, Isolation, and Magnitude Estimation of Unknown Flows in Open-Channel Irrigation Systems

Control predictivo de sistemas ciberfísicos

Dynamic Modeling of Crop–Soil Systems to Design Monitoring and Automatic Irrigation Processes: A Review with Worked Examples

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