Coalitional model predictive control of an irrigation canal

Fele, Filiberto; Maestre, J. M.; Hashemy, S. M.; Peña, David Muñoz de la; Camacho, Eduardo F.

doi:10.1016/j.jprocont.2014.02.005

Cited by 101 publications

(57 citation statements)

References 25 publications

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“…For example, this is the case of irrigation, where reluctance to automatic control methods is particu-larly visible. Control methods for automatic control of an irrigation canal can be found in [4]- [12]. In practice, however, canal managers often resort to manual operation with human operators traveling between the gates and adjusting their positions according their own judgment.…”

Section: Human-in-the-loop Controlmentioning

confidence: 99%

“…A model of the Dez Main Canal in Iran has been developed using all exact dimensions of the cross sections and gates of the canal. The model, whose profile can be seen in Figure 2, has been calibrated and used in multiple studies [10], [12], [54]. The simulations run with a time step of 30 s, which is accurate enough to capture all relevant low-frequency behavior and the resonances that may occur.…”

Section: Process Model Of An Irrigation Canalmentioning

confidence: 99%

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Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control]

2015

IEEE Control Syst.

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U ntil now, advanced model-based control techniques have been predominantly employed to control problems that are relatively straightforward to model. Many systems with complex dynamics or containing sophisticated sensing and actuation elements can be controlled if the corresponding mathematical models are available, even if there is uncertainty in this information. Consequently, the application of model-based control strategies has flourished in numerous areas, including indus-The difficulty arises when there are components in the controlled system that are not easily modeled in a standard setting. One important and broad class of such systems is when humans are involved in the actuation process, in measurements, or in system dynamics. How to integrate the important role played by human operators in the control problem formulation is still an open question. Control methods typically rely on a fully automatic control operation that, in the case of humans being involved in the control system, is unrealistic. Likewise, fully manual control methods might compromise the performance of the system because of factors such as limitations on the availability of the operators to implement control actions or the lack of coordination when several operators are involved. Therefore, there is an incentive in terms of performance to provide a link between stateof-the-art control methods and human operation.

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Section: Human-in-the-loop Controlmentioning

confidence: 99%

Section: Process Model Of An Irrigation Canalmentioning

confidence: 99%

Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control]

2015

IEEE Control Syst.

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“…Likewise in [18], a control method that switches between different linear feedback controllers to attain a trade-off between communication burden and performance is proposed. This latter work has been extended to the model predictive framework in [7]. The rationale of this work is somehow similar to [18] since the control architecture changes its topology in order to reduce the communication burden.…”

Section: Introductionmentioning

confidence: 99%

Non-centralized control for flow-based distribution networks: A game-theoretical insight

Barreiro-Gómez

Ocampo‐Martínez

Quijano

et al. 2017

Journal of the Franklin Institute

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This paper solves a data-driven control problem for a flow-based distribution network with two objectives: a resource allocation and a fair distribution of costs. These objectives represent both cooperation and competition directions. It is proposed a solution that combines either a centralized or distributed cooperative game approach using the Shapley value to determine a proper partitioning of the system and a fair communication cost distribution. On the other hand, a decentralized noncooperative game approach computing the Nash equilibrium is used to achieve the control objective of the resource allocation under a non-complete information topology. Furthermore, an invariant-set property is presented and the closed-loop system stability is analyzed for the non-cooperative game approach. Another contribution regarding the cooperative game approach is an alternative way to compute the Shapley value for the proposed specific characteristic function. Unlike the classical cooperative-games approach, which has a limited application due to the combinatorial explosion issues, the alternative method allows calculating the Shapley value in polynomial time and hence can be applied to large-scale problems.

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“…In fact, significant changes in the traditional design and operation of irrigation canals are necessary to achieve higher levels of efficiency and fairness. In this context, part of the studies focus on modelling potential designs for the canals (Ghumman et al 2012;Rezapour Tabari et al 2014;van Overloop et al 2008van Overloop et al , 2010a; other studies are focused on the application of modern operational techniques in the canals (Bhadra et al 2010;Fele et al 2014;Feyen and Liu 1991;Reddy 1991;Sadowska et al 2014;Tariq and Latif 2010;van Overloop et al 2014;Zafra-Cabeza et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply

Shahdany

Maestre

Overloop

2015

Water Resour Manage

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In this study a novel configuration of the Water Level Difference Error method is introduced to speed up the error sharing in the context of Model Predictive Control (MPC). The potential application of the controller is examined. The main objective of this controller is fair distribution of water between upstream and downstream users in main canals suffering from water shortages. The scheme uses the Integrator-Delay (ID) model for canal pool responses in a model predictive controller. The designed controller is tested on an accurate simulation model of a large canal system, using four test scenarios. The scenarios suffer from limited water supply conditions that are imposed by a limitation on the canal inflow. The results show fast reactions in equitable sharing of water level deviations from target throughout the canal. Since, all the pools are involved in optimally managing the water shortage, significant improvements in operational performance of the canal are achieved. In addition, the operational performance of the designed controller is remarkably improved by applying a new strategy of target-bands instead of targetlevels in the canal pools as it increases the flexibility of the controller in making appropriate decisions.Keywords Canal automation . Model predictive control . Water level difference error . Fair water distribution Water Resour Manage

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Coalitional model predictive control of an irrigation canal

Cited by 101 publications

References 25 publications

Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control]

Human-in-the-Loop Model Predictive Control of an Irrigation Canal [Applications of Control]

Non-centralized control for flow-based distribution networks: A game-theoretical insight

Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply

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