Automatic Control of Flows and Levels in an Irrigation Canal

Aguilar, José V.; Langarita, Pedro; Linares, Lorenzo; Rodellar, José

doi:10.1109/tia.2009.2031941

Cited by 24 publications

(21 citation statements)

References 14 publications

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“…The following papers describe implementations of adaptive predictive expert controllers in field irrigation canals: (Aguilar et al 2009(Aguilar et al , 2012Langarita 2010). They design single inputsingle-output controllers for discharges and water levels based on a particular solution of the extended predictive control strategy (Martín-Sánchez and Rodellar 2014).…”

Section: Introductionmentioning

confidence: 99%

“…The approach followed in this paper lies within the same scheme as in (Aguilar et al 2009(Aguilar et al , 2012, since a nominal model is obtained by system identification from the real canal. But, instead of adding on-line parameter adaptation, this work contributes with a controller designed with fixed parameters to operate within an expected range in the operating flow conditions.…”

Section: Introductionmentioning

confidence: 99%

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Predictive control of irrigation canals – robust design and real-time implementation

Aguilar

Langarita

Rodellar

et al. 2016

Water Resour Manage

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Predictive control is one of the most commonly used control methods in a variety of application areas, including hydraulic processes such as water distribution canals for irrigation. This article presents the design and application of predictive control for the water discharge entering into an irrigation canal located in Spain. First, a discrete time linear model of the process is described and its parameters are experimentally identified. The model is well validated within the usual canal operating range and is used to formulate a predictive control law with an incremental formulation. Finally, experimental and simulation results are presented in which predictive control has shown better performance than a well-tuned proportional, integral and derivative controller to automatically manage demanded water discharges.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictive control of irrigation canals – robust design and real-time implementation

Aguilar

Langarita

Rodellar

et al. 2016

Water Resour Manage

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“…One of the control methods used to control open channels is model predictive control (MPC) (Gómez, Rodellar, & Mantecón, 2002; van Overloop, 2006;Igreja, Cadete, & Lemos, 2011;Negenborn, van Overloop, Keviczky, & de Schutter, 2009;van Overloop, Clemmens, Strand, Wagemaker, & Bautista, 2010a;Zafra-Cabeza, Maestre, Ridao, Camacho, & Sánchez, 2011;Lemos, Machado, Nogueira, Rato, & Rijo, 2009;Aguilar, Langarita, Linares, & Rodellar, 2009, 2012.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore they propose an augmented model, similar to that of Wang (2009), which contains a disturbance model based on integrators. The use of additional feedforward component in the control loop is described in Aguilar et al (2009) in a predictive control scheme.…”

Section: Introductionmentioning

confidence: 99%

New offset-free method for model predictive control of open channels

Horváth

Galvis

Valentín

et al. 2015

Control Engineering Practice

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a b s t r a c tIrrigation or drainage canals can be controlled by model predictive control (MPC). Applying MPC with an internal model in the presence of unknown disturbances in some cases can lead to steady state offset. Therefore an additional component should be implemented along with the MPC. A new method eliminating the offset has been developed in this paper for MPC. It is based on combining two basic approaches of MPC. It has been implemented to control water levels in the three-pool UPC laboratory canal and further numerically tested using a test case benchmark proposed by the American Society of Civil Engineers (ASCE). It has been found that the developed offset-free method is able to eliminate the steady-state offset, while taking into account known and unknown disturbances.

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“…Several approaches have followed in order to address these questions, such as: distant vs. local control strategies, adaptive control, predictive control, and optimal control (Rijo (1999); Litrico and Fromion (2003); Shirley et al (2007); Aguilar et al (2009); Lemos et al (2009) language as Prolog is another possible approach (Rato et al (2005)). …”

Section: Introductionmentioning

confidence: 99%

Multi-Platform Controller Interface for SCADA Application

Duarte

Rato

Shirley

et al. 2011

IFAC Proceedings Volumes

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This paper concerns the development of a SCADA-Controller Interface (SCI) application for an open-channel experimental facility. Water delivery canals are complex and spatially distributed systems. The proposed application is to be applied to test control algorithms developed by several research groups with different technical approaches. The proposed interface allows the development of controllers in different environments -C/C++, MATLAB/Simulink, and GNU Prolog -and may be easily extended to other environments. The experimental facilities with the used instrumented canal, the programmable logic controller (PLC) network and the SCADA system are also described in this paper. Finally, some software experimental results are presented.

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Automatic Control of Flows and Levels in an Irrigation Canal

Cited by 24 publications

References 14 publications

Predictive control of irrigation canals – robust design and real-time implementation

Predictive control of irrigation canals – robust design and real-time implementation

New offset-free method for model predictive control of open channels

Multi-Platform Controller Interface for SCADA Application

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