Offset Free Model Predictive Control of an Open Water Reach

Boran Aydin; Peter-Jules van Overloop; Xin Tian

Offset Free Model Predictive Control of an Open Water Reach

Boran Aydin, Peter-Jules van Overloop, Xin Tian

Water Resources

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Model predictive control (MPC) is a powerful tool which is used more and more to managing water systems such as reservoirs over a short-term prediction horizon. However, due to unknown disturbances present in the water system and other uncertainties, there is always a mismatch between the model and the actual system. To overcome this mismatch and achieve offset free control of the water system, the internal model of the MPC is updated by adding the disturbance dynamics of the actual system by means of a disturbance model. In this paper, the conditions to achieve offset free control for an open water reach are provided. A disturbance model is designed and used to achieve offset free control in a test canal assessed from simulation results.

Original language	English
Title of host publication	Proceedings 11th International Conference on Hydroinformatics
Editors	M. Piasecki
Pages	2122-2127
Publication status	Published - 2014
Event	11th International Conference on Hydroinformatics - New York, United States Duration: 17 Aug 2014 → 21 Aug 2014 Conference number: 11 http://academicworks.cuny.edu/cc_conf_hic/

Conference

Conference	11th International Conference on Hydroinformatics
Abbreviated title	HIC 2014
Country/Territory	United States
City	New York
Period	17/08/14 → 21/08/14
Internet address	http://academicworks.cuny.edu/cc_conf_hic/

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title = "Offset Free Model Predictive Control of an Open Water Reach",

abstract = "Model predictive control (MPC) is a powerful tool which is used more and more to managing water systems such as reservoirs over a short-term prediction horizon. However, due to unknown disturbances present in the water system and other uncertainties, there is always a mismatch between the model and the actual system. To overcome this mismatch and achieve offset free control of the water system, the internal model of the MPC is updated by adding the disturbance dynamics of the actual system by means of a disturbance model. In this paper, the conditions to achieve offset free control for an open water reach are provided. A disturbance model is designed and used to achieve offset free control in a test canal assessed from simulation results.",

author = "Boran Aydin and {van Overloop}, Peter-Jules and Xin Tian",

year = "2014",

language = "English",

isbn = "978-1-5108-0039-7",

pages = "2122--2127",

editor = "M. Piasecki",

booktitle = "Proceedings 11th International Conference on Hydroinformatics",

note = "11th International Conference on Hydroinformatics, HIC 2014 ; Conference date: 17-08-2014 Through 21-08-2014",

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T1 - Offset Free Model Predictive Control of an Open Water Reach

AU - Aydin, Boran

AU - van Overloop, Peter-Jules

AU - Tian, Xin

N1 - Conference code: 11

PY - 2014

Y1 - 2014

N2 - Model predictive control (MPC) is a powerful tool which is used more and more to managing water systems such as reservoirs over a short-term prediction horizon. However, due to unknown disturbances present in the water system and other uncertainties, there is always a mismatch between the model and the actual system. To overcome this mismatch and achieve offset free control of the water system, the internal model of the MPC is updated by adding the disturbance dynamics of the actual system by means of a disturbance model. In this paper, the conditions to achieve offset free control for an open water reach are provided. A disturbance model is designed and used to achieve offset free control in a test canal assessed from simulation results.

AB - Model predictive control (MPC) is a powerful tool which is used more and more to managing water systems such as reservoirs over a short-term prediction horizon. However, due to unknown disturbances present in the water system and other uncertainties, there is always a mismatch between the model and the actual system. To overcome this mismatch and achieve offset free control of the water system, the internal model of the MPC is updated by adding the disturbance dynamics of the actual system by means of a disturbance model. In this paper, the conditions to achieve offset free control for an open water reach are provided. A disturbance model is designed and used to achieve offset free control in a test canal assessed from simulation results.

UR - http://resolver.tudelft.nl/uuid:b3e9b0cd-6bfc-4b9f-862e-c59dc0dcb041

M3 - Conference contribution

SN - 978-1-5108-0039-7

SP - 2122

EP - 2127

BT - Proceedings 11th International Conference on Hydroinformatics

A2 - Piasecki, M.

T2 - 11th International Conference on Hydroinformatics

Y2 - 17 August 2014 through 21 August 2014

ER -

Offset Free Model Predictive Control of an Open Water Reach

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