Hierarchical distributed model predictive control for risk mitigation: An irrigation canal case study

Zafra-Cabeza, Ascensión; Maestre, José María Maestre; Ridao, Miguel A.; Camacho, Eduardo F.; Asensio, Laura

doi:10.1109/acc.2011.5990923

Cited by 13 publications

(9 citation statements)

References 6 publications

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“…A comment about communication effort beyond the practicable limits, similar to the one in the articles reported earlier, can be raised regarding Zafra-Cabeza et al (2011). That paper introduces a hierarchical MPC-based control approach: the lower layer consists of distributed controllers and the higher one of a centralized controller.…”

Section: Previous Work On Control Of Irrigation Canalsmentioning

confidence: 88%

“…That paper introduces a hierarchical MPC-based control approach: the lower layer consists of distributed controllers and the higher one of a centralized controller. The higher control layer in Zafra-Cabeza et al (2011) acts by modifying the setpoints of the local controllers. However, as the setpoint can be changed in Zafra-Cabeza et al (2011) in general in every control step, the communication links need to be reliable to allow a continuous and dependable communication, which may not always be guaranteed.…”

Section: Previous Work On Control Of Irrigation Canalsmentioning

confidence: 99%

“…The higher control layer in Zafra-Cabeza et al (2011) acts by modifying the setpoints of the local controllers. However, as the setpoint can be changed in Zafra-Cabeza et al (2011) in general in every control step, the communication links need to be reliable to allow a continuous and dependable communication, which may not always be guaranteed. This may raise some questions on practical applicability of such results despite their theoretical soundness.…”

Section: Previous Work On Control Of Irrigation Canalsmentioning

confidence: 99%

See 2 more Smart Citations

Hierarchical Operation of Water Level Controllers: Formal Analysis and Application on a Large Scale Irrigation Canal

Sadowska

Overloop

Burt

et al. 2014

Water Resour Manage

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We introduce a hierachical controller, the purpose of which is to speed up the water delivery process as compared to the standard method applied currently in the field. The lower layer of the hierarchical control consists of local proportional integral filter controllers (PIF controllers) for upstream control at each gate; specifically they are proportional integral controllers with a low-pass filter. In contrast, the higher layer is composed of a centralized model-based predictive controller, which acts by controlling the head gate and by coordinating the local PIF controllers by modifying their setpoints when needed. The centralized controller is event-driven and is invoked only when there is a need for it (a water delivery request) and as such it contributes scarcely to the communication burden. The scheme is robust to temporary communication losses as the local PIF controllers are fully able to control the canal in their normal independent automatic upstream control mode until the communication links are restored. We discuss the application of the hierarchical controller to a precise numerical model of the Central California Irrigation District Main Canal. This shows the improved performance of the new hierarchical controller over the standard control method.

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Section: Previous Work On Control Of Irrigation Canalsmentioning

confidence: 88%

Section: Previous Work On Control Of Irrigation Canalsmentioning

confidence: 99%

Section: Previous Work On Control Of Irrigation Canalsmentioning

confidence: 99%

See 1 more Smart Citation

Hierarchical Operation of Water Level Controllers: Formal Analysis and Application on a Large Scale Irrigation Canal

Sadowska

Overloop

Burt

et al. 2014

Water Resour Manage

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“…This was done in a time-driven manner in every control step. For a water system, a supervisory control scheme was studied in [44], where various risk factors (e.g., political, operational, or financial) were considered. In view of these risk factors, the supervisory layer of the controller provides the lower layer with desired setpoints.…”

Section: B Previous Developmentsmentioning

confidence: 99%

Delivery-Oriented Hierarchical Predictive Control of an Irrigation Canal: Event-Driven Versus Time-Driven Approaches

Sadowska

Schutter

Overloop

2015

IEEE Trans. Contr. Syst. Technol.

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In this paper, we present the concept of a hierarchical predictive controller used for irrigation canals. The motivation behind this paper is the need in the field of irrigation to deliver water to farmers fast, but with minimal resources involved, as the communication links in the field are not dependable in practice. In response to such a control problem, we propose a hierarchical controller: the lower control layer is formed by decentralized proportional integral (PI) controllers and the higher control layer is constituted by a centralized predictive controller, the purpose of which is to control the inflow to the canal and, importantly, to coordinate the local controllers by modifying their setpoints. Having in mind the restrictions on the available communication infrastructure and the control equipment already present, the scheme is designed to be event driven, i.e., activated when there are either delivery requests or non-delivery-related events of any sort, requiring special care on top of the control provided by the PI controllers. We also study a time-driven formulation with an additional postprocessing step to avoid excessive negligible setpoint modifications. We compare the event-driven formulation and the time-driven formulation theoretically as well as by means of a simulation study for the West-M irrigation canal in Phoenix, Arizona, illustrating the findings of this paper. It is shown that the event-driven controller is able to provide a good balance between the control performance and the required update frequency of the control settings.Index Terms-Application of optimal control, control of irrigation canals, event-driven control, hierarchical control, model predictive control, PI control.

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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%

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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Hierarchical distributed model predictive control for risk mitigation: An irrigation canal case study

Cited by 13 publications

References 6 publications

Hierarchical Operation of Water Level Controllers: Formal Analysis and Application on a Large Scale Irrigation Canal

Hierarchical Operation of Water Level Controllers: Formal Analysis and Application on a Large Scale Irrigation Canal

Delivery-Oriented Hierarchical Predictive Control of an Irrigation Canal: Event-Driven Versus Time-Driven Approaches

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

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