Model predictive controller design for air separation plants

Sangmoon Lee; Sangchul Won

doi:10.1016/S1474-6670(17)37598-5

Model predictive controller design for air separation plants

Sangmoon Lee, Sangchul Won

School of Electronics Engineering

Pohang University of Science and Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper focuses on the design of a model predictive controller to cope with the load change of air separation plants. The linear state-space wiener model is obtained using subspace identification methods. And we design a static output feedback model predictive controller for the obtained model. The upper bound of performance index with finite horizon is acquired with LMI technique. Simulation results show the effectiveness of the proposed method.

Original language	English
Pages (from-to)	29-33
Number of pages	5
Journal	IFAC-PapersOnLine
Volume	36
Issue number	24
DOIs	https://doi.org/10.1016/S1474-6670(17)37598-5
State	Published - 2003
Event	2003 IFAC Workshop on New Technologies for Automation of the Metallurgical Industry 2003 - Shanghai, China Duration: 11 Oct 2003 → 13 Oct 2003

Keywords

Air separation plants
Model predictive control
Wiener model

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10.1016/S1474-6670(17)37598-5

Cite this

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title = "Model predictive controller design for air separation plants",

abstract = "This paper focuses on the design of a model predictive controller to cope with the load change of air separation plants. The linear state-space wiener model is obtained using subspace identification methods. And we design a static output feedback model predictive controller for the obtained model. The upper bound of performance index with finite horizon is acquired with LMI technique. Simulation results show the effectiveness of the proposed method.",

keywords = "Air separation plants, Model predictive control, Wiener model",

author = "Sangmoon Lee and Sangchul Won",

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AU - Lee, Sangmoon

AU - Won, Sangchul

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AB - This paper focuses on the design of a model predictive controller to cope with the load change of air separation plants. The linear state-space wiener model is obtained using subspace identification methods. And we design a static output feedback model predictive controller for the obtained model. The upper bound of performance index with finite horizon is acquired with LMI technique. Simulation results show the effectiveness of the proposed method.

KW - Air separation plants

KW - Model predictive control

KW - Wiener model

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U2 - 10.1016/S1474-6670(17)37598-5

DO - 10.1016/S1474-6670(17)37598-5

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VL - 36

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JO - IFAC-PapersOnLine

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T2 - 2003 IFAC Workshop on New Technologies for Automation of the Metallurgical Industry 2003

Y2 - 11 October 2003 through 13 October 2003

ER -

Model predictive controller design for air separation plants

Abstract

Keywords

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