Nonlinear Model Predictive Control for Heterogeneous Process Models in Water Resources

Schwanenberg, Dirk; Galelli, Stefano; Sheret, Ian

doi:10.3182/20110828-6-it-1002.02858

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Many studies have been made in this context, see for instance [1], [2], [3]. A distributed linear quadratic Gaussian controller is presented in [4], and a model predictive controller (MPC) is used in [5] and in [6], however, the MPC is in general very time-consuming and highly dependent on the weather forecast quality.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Water Level Controller for Reservoirs in Cascade

Nogueira,

Pinho

2023

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

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In this paper, a strategy for the control of the water levels of a cascade of reservoirs is presented. This is achieved by operating a pumping station or discharge structures. The system is disturbed by reservoirs inflows resulting from rainfall-runoff events. Some examples of these systems are reservoirs that must be operated to satisfy navigation or leisure requirements or their operation during flood events. The presented controller reveals a good performance and has the advantage of being simple to implement. Moreover, it was proven that the described control law ensures asymptotic reference tracking, reaches several convergence rates, by tuning, and it allows the changing of the desired water levels reference values during the control process.

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Section: Introductionmentioning

confidence: 99%

A Nonlinear Water Level Controller for Reservoirs in Cascade

Nogueira,

Pinho

2023

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

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“…For instance, [Nielsen et al, 2020a], [Nielsen et al, 2020b], and use the simplified version of the well-known Saint-Venant partial differential equations to solve a linear convex optimization problem for the gravitydriven flow predictions in sewers. Nevertheless, [Schwanenberg et al, 2011] proposed a nonlinear predictive controller by using both an explicit and implicit time-stepping scheme of the full hyperbolic partial differential equations in large-scale river systems. To deal with the nonlinear and non-differentiable features of the Saint-Venant-based prediction model in a nonlinear predictive control problem, proposed a pattern search method to solve the optimization problem in sewer systems.…”

Section: Predictive Controlmentioning

confidence: 99%

Real-time Data-driven Modelling and Predictive Control of Wastewater Networks

Balla¹

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Nonlinear Model Predictive Control for Heterogeneous Process Models in Water Resources

Cited by 2 publications

References 5 publications

A Nonlinear Water Level Controller for Reservoirs in Cascade

A Nonlinear Water Level Controller for Reservoirs in Cascade

Real-time Data-driven Modelling and Predictive Control of Wastewater Networks

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