Dynamic Matrix Control of a Quadruple-Tank Process

Karl Johan Åström; Liankui Dai

doi:10.1016/S1474-6670(17)57178-5

Dynamic Matrix Control of a Quadruple-Tank Process

Karl Johan Åström, Liankui Dai

Department of Automatic Control

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimizer (DMC-LP) is applied to a nonlinear multivariable laboratory process which consists of four interconnected water tanks. Experimental results show that DMC-LP is a powerful constrained model predictive controller. Based upon simple step response model, it can provide improved control performance and strong robustness. More important, it can handle all kinds of input and output constraints explicitly. Finally, it can reconfigure the control structure based on the different operational requirements. Therefore, it can be applied in most complicated industrial processes.

Original language	English
Title of host publication	IFAC Proceedings Volumes
Publisher	IFAC
Pages	6902-6907
Volume	32
DOIs	https://doi.org/10.1016/S1474-6670(17)57178-5
Publication status	Published - 1999
Event	14th IFAC World Congress (1999) - Beijing, P.R.China, Beijing, China Duration: 1999 Jul 5 → 1999 Jul 9 Conference number: 14th

Publication series

Name	IFAC Proceedings Volumes
Publisher	Elsevier
Number	2
Volume	32

Conference

Conference	14th IFAC World Congress (1999)
Country/Territory	China
City	Beijing
Period	1999/07/05 → 1999/07/09

Subject classification (UKÄ)

Control Engineering

Access to Document

10.1016/S1474-6670(17)57178-5

Cite this

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title = "Dynamic Matrix Control of a Quadruple-Tank Process",

abstract = "A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimizer (DMC-LP) is applied to a nonlinear multivariable laboratory process which consists of four interconnected water tanks. Experimental results show that DMC-LP is a powerful constrained model predictive controller. Based upon simple step response model, it can provide improved control performance and strong robustness. More important, it can handle all kinds of input and output constraints explicitly. Finally, it can reconfigure the control structure based on the different operational requirements. Therefore, it can be applied in most complicated industrial processes.",

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AU - Åström, Karl Johan

AU - Dai, Liankui

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N2 - A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimizer (DMC-LP) is applied to a nonlinear multivariable laboratory process which consists of four interconnected water tanks. Experimental results show that DMC-LP is a powerful constrained model predictive controller. Based upon simple step response model, it can provide improved control performance and strong robustness. More important, it can handle all kinds of input and output constraints explicitly. Finally, it can reconfigure the control structure based on the different operational requirements. Therefore, it can be applied in most complicated industrial processes.

AB - A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimizer (DMC-LP) is applied to a nonlinear multivariable laboratory process which consists of four interconnected water tanks. Experimental results show that DMC-LP is a powerful constrained model predictive controller. Based upon simple step response model, it can provide improved control performance and strong robustness. More important, it can handle all kinds of input and output constraints explicitly. Finally, it can reconfigure the control structure based on the different operational requirements. Therefore, it can be applied in most complicated industrial processes.

U2 - 10.1016/S1474-6670(17)57178-5

DO - 10.1016/S1474-6670(17)57178-5

M3 - Paper in conference proceeding

VL - 32

T3 - IFAC Proceedings Volumes

SP - 6902

EP - 6907

BT - IFAC Proceedings Volumes

PB - IFAC

T2 - 14th IFAC World Congress (1999)

Y2 - 5 July 1999 through 9 July 1999

ER -

Dynamic Matrix Control of a Quadruple-Tank Process

Abstract

Publication series

Conference

Subject classification (UKÄ)

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Cite this