Modeling and regulation of irrigation canals: existing applications and ongoing researches

Malaterre, Pierre‐Olivier; Baume, Jean-Pierre

doi:10.1109/icsmc.1998.726688

Cited by 78 publications

(48 citation statements)

References 17 publications

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“…. Other approaches, not discussed here, for control of canals can be found in (Halleux et al, 2003;Schuurmans et al, 1999;Malaterre and Baume, 1998).…”

Section: Control For Irrigation Systemsmentioning

confidence: 99%

Systems Engineering for Irrigation Systems: Successes and Challenges

Mareels

Weyer

Ooi

et al. 2005

IFAC Proceedings Volumes

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In Australia gravity fed irrigation systems are critical infrastructure essential to agricultural production and export. By supplementing these large scale civil engineering systems with an appropriate information infrastructure, sensors, actuators and a communication network it is feasible to use systems engineering ideas to improve the exploitation of the irrigation system. This paper reports how classical ideas from system identification and control can be used to automate irrigation systems to deliver a near on-demand water supply with vastly improved overall distribution efficiency.

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“…. Other approaches, not discussed here, for control of canals can be found in (Halleux et al, 2003;Schuurmans et al, 1999;Malaterre and Baume, 1998).…”

Section: Control For Irrigation Systemsmentioning

confidence: 99%

Systems Engineering for Irrigation Systems: Successes and Challenges

Mareels

Weyer

Ooi

et al. 2005

IFAC Proceedings Volumes

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“…The reason for this was that although accurate models useful for inverse modeling were available, no knowledge on feedback control was available among these civil engineers. The first successful implementations were based on feedback control [12,19], either without or with feedforward control added. These controllers were able to keep water levels close to set-points and in this way ensured the availability of water in canals and reservoirs.…”

Section: Automatic Control Of Water Systemsmentioning

confidence: 99%

“…Soft constraints are applied over the prediction horizon to impose the following limitation for navigation and safety: 12) for l = 0, . .…”

Section: Constraintsmentioning

confidence: 99%

Predictive Control for National Water Flow Optimization in The Netherlands

Overloop

Negenborn

Schutter

et al. 2009

Intelligent Infrastructures

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“…A review of the main approaches used in the development of models for irrigation main canal pools is carried out in Malaterre & Baume (1998). This survey includes: the Saint-Venant linearization model, an infinite order linear transfer function, a finite order non-linear model, a finite order linear state space model, a finite order linear transfer function, a neural network model, a fuzzy model and a petri net model.…”

Section: Introductionmentioning

confidence: 99%

Fractional-order mathematical model of an irrigation main canal pool

Calderon-Valdez

Feliu-Batlle

Rivas-Pérez

2015

Span. j. agric. res.

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In this paper a fractional order model for an irrigation main canal is proposed. It is based on the experiments developed in a laboratory prototype of a hydraulic canal and the application of a direct system identification methodology. The hydraulic processes that take place in this canal are equivalent to those that occur in real main irrigation canals and the results obtained here can therefore be easily extended to real canals. The accuracy of the proposed fractional order model is compared by deriving two other integer-order models of the canal of a complexity similar to that proposed here. The parameters of these three mathematical models have been identified by minimizing the Integral Square Error (ISE) performance index existing between the models and the real-time experimental data obtained from the canal prototype. A comparison of the performances of these three models shows that the fractional-order model has the lowest error and therefore the higher accuracy. Experiments showed that our model outperformed the accuracy of the integer-order models by about 25%, which is a significant improvement as regards to capturing the canal dynamics.Additional key words: prototype hydraulic canal; system identification; parameter estimation; canals automation; management of water resources.

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Modeling and regulation of irrigation canals: existing applications and ongoing researches

Cited by 78 publications

References 17 publications

Systems Engineering for Irrigation Systems: Successes and Challenges

Systems Engineering for Irrigation Systems: Successes and Challenges

Predictive Control for National Water Flow Optimization in The Netherlands

Fractional-order mathematical model of an irrigation main canal pool

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