A Realistic Process Example for MIMO MPC based on Autoregressive Models

Jakob Kjøbsted Huusom; John Bagterp Jørgensen

doi:10.3182/20140824-6-ZA-1003.00461

A Realistic Process Example for MIMO MPC based on Autoregressive Models

Jakob Kjøbsted Huusom, John Bagterp Jørgensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Advanced controllers such as model predictive control are i n use for a wide range of application in the process industry. The potential utili zation of such advanced predictive controllers is far from exhausted. One barrier for more wide spread implementation is the lack of simple methodologies for advanced control design develo pment which may be used by non experts in control theory. This paper presents and illustra tes the use of a simple methodology to design an offset-free MPC based on ARX models. Hence a mecha nistic process model is not required. The forced circulation evaporator by Newell and Lee is used to illustrate the offset-free MPC based on ARX models for a nonlinear multivariate process .

Original language	English
Title of host publication	Preprints of the 19th World Congress
Publisher	International Federation of Automatic Control
Publication date	2014
Pages	3086-3091
DOIs	https://doi.org/10.3182/20140824-6-ZA-1003.00461
Publication status	Published - 2014
Event	19th World Congress of the International Federation of Automatic Control (IFAC 2014) - Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 http://www.ifac2014.org/

Conference

Conference	19th World Congress of the International Federation of Automatic Control (IFAC 2014)
Country/Territory	South Africa
City	Cape Town
Period	24/08/2014 → 29/08/2014
Other	The theme of the congress: “Promoting automatic control for the benefit of humankind”
Internet address	http://www.ifac2014.org/

Keywords

Chemical Process Control
Model Predictive Control
Autoregressive Models

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10.3182/20140824-6-ZA-1003.00461

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title = "A Realistic Process Example for MIMO MPC based on Autoregressive Models",

abstract = "Advanced controllers such as model predictive control are i n use for a wide range of application in the process industry. The potential utili zation of such advanced predictive controllers is far from exhausted. One barrier for more wide spread implementation is the lack of simple methodologies for advanced control design develo pment which may be used by non experts in control theory. This paper presents and illustra tes the use of a simple methodology to design an offset-free MPC based on ARX models. Hence a mecha nistic process model is not required. The forced circulation evaporator by Newell and Lee is used to illustrate the offset-free MPC based on ARX models for a nonlinear multivariate process .",

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author = "Huusom, {Jakob Kj{\o}bsted} and J{\o}rgensen, {John Bagterp}",

year = "2014",

doi = "10.3182/20140824-6-ZA-1003.00461",

language = "English",

pages = "3086--3091",

booktitle = "Preprints of the 19th World Congress",

publisher = "International Federation of Automatic Control",

note = "19th World Congress of the International Federation of Automatic Control (IFAC 2014), IFAC 2014 ; Conference date: 24-08-2014 Through 29-08-2014",

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}

Huusom, JK & Jørgensen, JB 2014, A Realistic Process Example for MIMO MPC based on Autoregressive Models. in Preprints of the 19th World Congress. International Federation of Automatic Control, pp. 3086-3091, 19th World Congress of the International Federation of Automatic Control (IFAC 2014), Cape Town, South Africa, 24/08/2014. https://doi.org/10.3182/20140824-6-ZA-1003.00461

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AU - Huusom, Jakob Kjøbsted

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PY - 2014

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N2 - Advanced controllers such as model predictive control are i n use for a wide range of application in the process industry. The potential utili zation of such advanced predictive controllers is far from exhausted. One barrier for more wide spread implementation is the lack of simple methodologies for advanced control design develo pment which may be used by non experts in control theory. This paper presents and illustra tes the use of a simple methodology to design an offset-free MPC based on ARX models. Hence a mecha nistic process model is not required. The forced circulation evaporator by Newell and Lee is used to illustrate the offset-free MPC based on ARX models for a nonlinear multivariate process .

AB - Advanced controllers such as model predictive control are i n use for a wide range of application in the process industry. The potential utili zation of such advanced predictive controllers is far from exhausted. One barrier for more wide spread implementation is the lack of simple methodologies for advanced control design develo pment which may be used by non experts in control theory. This paper presents and illustra tes the use of a simple methodology to design an offset-free MPC based on ARX models. Hence a mecha nistic process model is not required. The forced circulation evaporator by Newell and Lee is used to illustrate the offset-free MPC based on ARX models for a nonlinear multivariate process .

KW - Chemical Process Control

KW - Model Predictive Control

KW - Autoregressive Models

U2 - 10.3182/20140824-6-ZA-1003.00461

DO - 10.3182/20140824-6-ZA-1003.00461

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BT - Preprints of the 19th World Congress

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Y2 - 24 August 2014 through 29 August 2014

ER -

A Realistic Process Example for MIMO MPC based on Autoregressive Models

Abstract

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Keywords

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