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Offset-Free Model Predictive Control of Open Water Channel Based on Moving Horizon Estimation. / Aydin, Boran; Kolechkina, Alla (Editor); Rutten, Martine.

In: Geophysical Research Abstracts (online), Vol. 18, EGU2016-9900, 2016, p. 1-1.

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@article{bc024da633d94ad0823a3d4804c1774b,
title = "Offset-Free Model Predictive Control of Open Water Channel Based on Moving Horizon Estimation",
abstract = "Model predictive control (MPC) is a powerful control option which is increasingly used by operational water managers for managing water systems. The explicit consideration of constraints and multi-objective management are important features of MPC. However, due to the water loss in open water systems by seepage, leakage and evaporation a mismatch between the model and the real system will be created. These mismatch affects the performance of MPC and creates an offset from the reference set point of the water level. We present model predictive control based on moving horizon estimation (MHE-MPC) to achieve offset free control of water level for open water canals. MHE-MPC uses the past predictions of the model and the past measurements of the system to estimate unknown disturbances and the offset in the controlled water level is systematically removed. We numerically tested MHE-MPC on an accurate hydro-dynamic model of the laboratory canal UPC-PAC located in Barcelona. In addition, we also used well known disturbance modeling offset free control scheme for the same test case. Simulation experiments on a single canal reach show that MHE-MPC outperforms disturbance modeling offset free control scheme. ",
author = "Boran Aydin and Alla Kolechkina and Martine Rutten",
year = "2016",
language = "English",
volume = "18",
pages = "1--1",
journal = "Geophysical Research Abstracts (online)",
issn = "1607-7962",
note = "EGU General Assembly 2016, EGU16 ; Conference date: 17-04-2016 Through 22-04-2016",
url = "http://egu2016.eu/",

}

RIS

TY - JOUR

T1 - Offset-Free Model Predictive Control of Open Water Channel Based on Moving Horizon Estimation

AU - Aydin, Boran

AU - Rutten, Martine

A2 - Kolechkina, Alla

PY - 2016

Y1 - 2016

N2 - Model predictive control (MPC) is a powerful control option which is increasingly used by operational water managers for managing water systems. The explicit consideration of constraints and multi-objective management are important features of MPC. However, due to the water loss in open water systems by seepage, leakage and evaporation a mismatch between the model and the real system will be created. These mismatch affects the performance of MPC and creates an offset from the reference set point of the water level. We present model predictive control based on moving horizon estimation (MHE-MPC) to achieve offset free control of water level for open water canals. MHE-MPC uses the past predictions of the model and the past measurements of the system to estimate unknown disturbances and the offset in the controlled water level is systematically removed. We numerically tested MHE-MPC on an accurate hydro-dynamic model of the laboratory canal UPC-PAC located in Barcelona. In addition, we also used well known disturbance modeling offset free control scheme for the same test case. Simulation experiments on a single canal reach show that MHE-MPC outperforms disturbance modeling offset free control scheme.

AB - Model predictive control (MPC) is a powerful control option which is increasingly used by operational water managers for managing water systems. The explicit consideration of constraints and multi-objective management are important features of MPC. However, due to the water loss in open water systems by seepage, leakage and evaporation a mismatch between the model and the real system will be created. These mismatch affects the performance of MPC and creates an offset from the reference set point of the water level. We present model predictive control based on moving horizon estimation (MHE-MPC) to achieve offset free control of water level for open water canals. MHE-MPC uses the past predictions of the model and the past measurements of the system to estimate unknown disturbances and the offset in the controlled water level is systematically removed. We numerically tested MHE-MPC on an accurate hydro-dynamic model of the laboratory canal UPC-PAC located in Barcelona. In addition, we also used well known disturbance modeling offset free control scheme for the same test case. Simulation experiments on a single canal reach show that MHE-MPC outperforms disturbance modeling offset free control scheme.

M3 - Meeting Abstract

VL - 18

SP - 1

EP - 1

JO - Geophysical Research Abstracts (online)

JF - Geophysical Research Abstracts (online)

SN - 1607-7962

M1 - EGU2016-9900

T2 - EGU General Assembly 2016

Y2 - 17 April 2016 through 22 April 2016

ER -

ID: 4891477