Identification of Properties of Open Water Channels for Controller Design

Overloop, P. J. van; Bombois, Xavier

doi:10.3182/20120711-3-be-2027.00414

Cited by 6 publications

(9 citation statements)

References 16 publications

(18 reference statements)

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“…The UPC-PAC has significant resonance. The problem of resonance of canal pools is first dealt with in Schuurmans (1997) and later in van Overloop (2006). In van Overloop et al (2010a), a model was developed especially for resonant canals, which is used in this paper.…”

Section: General Model Of the Canal Poolmentioning

confidence: 99%

“…The parameters in these equations can be calculated or obtained by identification experiments described in Clemmens et al (2012) and improved in van Overloop and Bombois (2012). In this paper the resonance characteristics were calculated as detailed in Clemmens et al (2012).…”

Section: Integrator Resonance Modelmentioning

confidence: 99%

“…The developement of the model predictive controller is based on Camacho and Bordons (1998) and van Overloop (2006). Using the model from Eq.…”

Section: Control Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Is It Better to Use Gate Opening as Control Variable than Discharge to Control Irrigation Canals?

Horváth

Galvis²,

Valentín

et al. 2015

J. Irrig. Drain Eng.

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Centralized model predictive controllers are common in water systems. The control action variable can be the discharge, and the subsystems (canal pools) are modeled separately. This paper focuses on short canal pools where the interactions are stronger between canal pools. Could this procedure be better if gate openings were used as control action variables and the interconnected system were modeled for the controller? Model predictive controllers (MPCs) were developed using the discharge and the gate opening as control action variable and tested experimentally using the laboratory canal of the Technical University of Catalonia. It was found that for centralized MPCs for short canal pools, the use of gate opening as control action variable is more beneficial than discharge. Another additional advantage is that in this way it is possible to put constraints on the gate opening and the change of gate opening, which are important to the limitations of the physical system.

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Section: General Model Of the Canal Poolmentioning

confidence: 99%

Section: Integrator Resonance Modelmentioning

confidence: 99%

See 1 more Smart Citation

Is It Better to Use Gate Opening as Control Variable than Discharge to Control Irrigation Canals?

Horváth

Galvis²,

Valentín

et al. 2015

J. Irrig. Drain Eng.

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“…The drops can be seen in the other water levels measured at Cuinchy and Aire -at Cuinchy (with black) the negative wave appears after two hours, this is the time delay of the system. This phenomenon is called resonance and it is first described in [43] and [46], and later studied in depth in [49] and [48]. These waves without control can cause the water levels go out of the allowed range of navigation.…”

Section: Figmentioning

confidence: 99%

Enhancing Inland Navigation by Model Predictive Control of Water Levels: The Cuinchy-Fontinettes Case

Horváth

Rajaoarisoa

Duviella

et al. 2015

Operations Research/Computer Science Interfaces Series

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Navigation canals are used for transport purposes. In order to allow safe navigation the water level should be kept in a certain range around the Normal Navigation Level (NNL). The water level is disturbed by known and unknown inputs, like tributaries, municipal water flows, rain, etc. Some of these inputs can be used to control the water level. If the geometry requires it, canal reaches are connected by locks. The operation of these locks sometimes can disturb the water level, if the difference between the upstream and downstream water level is large. The objective is to minimize the disturbances caused by these lock operations on the water level in order to maintain the NNL. In this work the global management of the canal reach is discussed and an option to maintain the NNL by active control is introduced. Some inputs to the system, such as other confluences or gates on the side of the locks, can be controlled automatically to react to the disturbances caused by the lock operations using model predictive control to maintain the desired water level.

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“…The problem of resonance is explained in [Schuurmans, 1997] and studied qualitatively in [Litrico and Fromion, 2004a], [ van Overloop, 2006b] and quantitatively in [Miltenburg, 2008], [Clemmens et al, 2012] and [van Overloop and Bombois, 2012]. The detection of unwanted oscialltions is described in [Ooi and Weyer, 2011] and a model for this kind of canal pools developed in [van Overloop et al, 2010b].…”

Section: Analysis Of the Waves In Open Channelsmentioning

confidence: 99%

Model predictive control of resonance sensitive irrigation canals

Horváth

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Saving water is an economic and ecological need. One way to save water is to reduce losses in irrigation networks by canal automation. The goal of canal automation is to make the right amount of water to at arrive in the right time. In order to achieve this goal, one of the ways is controlling the gates in the irrigation network by some control algorithm. In this work the control of a specific type of canal pools is studied: short and flat pools that are prone to resonance. The downstream water level control of this type of canals is investigated using the example of the 3-reach laboratory canal of the Technical University of Catalonia. Numerical and experimental studies are carried out to investigate the following: the choice of models for predictive control, the possibility to achieve offset-free control while using gravity offtakes and the best choice of control action variables. The objective of this work is to develop a well performing centralized model predictive controller (MPC) for the laboratory canal that is able to handle known and unknown setpoint changes and disturbances, and also to draw further conclusions about controller design for this type of canals. A recently developed model for resonant canals, the Integrator Resonance, is implemented and successfully tested experimentally for the first time. A new method to achieve offset free control for model predictive control is developed and tested numerically and experimentally. A choice of control variables are tested: As opposed to the discharge which is generally used as the control action variable, a state space model is formulated by using the gate opening as control variable without the need of water level measurement downstream of the gates. The results are summarized and conclusions are presented for control of short and flat canals that are prone to resonance.

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Identification of Properties of Open Water Channels for Controller Design

Cited by 6 publications

References 16 publications

Is It Better to Use Gate Opening as Control Variable than Discharge to Control Irrigation Canals?

Is It Better to Use Gate Opening as Control Variable than Discharge to Control Irrigation Canals?

Enhancing Inland Navigation by Model Predictive Control of Water Levels: The Cuinchy-Fontinettes Case

Model predictive control of resonance sensitive irrigation canals

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