Investigation on the application of robust model predictive control on air-conditioning systems

Gongsheng Huang; Shengwei Wang

Investigation on the application of robust model predictive control on air-conditioning systems

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

This paper investigates how to use robust model prediction control in air-conditioning systems. Air-conditioning processes are described using a first-order plus time-delay model associated with uncertainties in process gain, time constant and time-delay. An uncertainty polytope is developed to describe the corresponding uncertainties when the continuous model is sampled into a discrete one and further reformulated as a state-space model. Offline LMI-based MPC is then employed to design robust controller. In order to improve control performance, an operating mode identification scheme and a gain-scheduling scheme are also developed for application in air-conditioning systems.

Original language	English
Title of host publication	Proceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages	1302-1307
Number of pages	6
Publication status	Published - 11 Dec 2009
Event	2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, Hong Kong Duration: 27 Aug 2009 → 29 Aug 2009

Conference

Conference	2009 7th Asian Control Conference, ASCC 2009
Country/Territory	Hong Kong
City	Hong Kong
Period	27/08/09 → 29/08/09

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Vision and Pattern Recognition
Control and Systems Engineering

Cite this

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title = "Investigation on the application of robust model predictive control on air-conditioning systems",

abstract = "This paper investigates how to use robust model prediction control in air-conditioning systems. Air-conditioning processes are described using a first-order plus time-delay model associated with uncertainties in process gain, time constant and time-delay. An uncertainty polytope is developed to describe the corresponding uncertainties when the continuous model is sampled into a discrete one and further reformulated as a state-space model. Offline LMI-based MPC is then employed to design robust controller. In order to improve control performance, an operating mode identification scheme and a gain-scheduling scheme are also developed for application in air-conditioning systems.",

author = "Gongsheng Huang and Shengwei Wang",

year = "2009",

month = dec,

day = "11",

language = "English",

isbn = "9788995605691",

pages = "1302--1307",

booktitle = "Proceedings of 2009 7th Asian Control Conference, ASCC 2009",

note = "2009 7th Asian Control Conference, ASCC 2009 ; Conference date: 27-08-2009 Through 29-08-2009",

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Investigation on the application of robust model predictive control on air-conditioning systems. / Huang, Gongsheng; Wang, Shengwei.
Proceedings of 2009 7th Asian Control Conference, ASCC 2009. 2009. p. 1302-1307 5276391.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - This paper investigates how to use robust model prediction control in air-conditioning systems. Air-conditioning processes are described using a first-order plus time-delay model associated with uncertainties in process gain, time constant and time-delay. An uncertainty polytope is developed to describe the corresponding uncertainties when the continuous model is sampled into a discrete one and further reformulated as a state-space model. Offline LMI-based MPC is then employed to design robust controller. In order to improve control performance, an operating mode identification scheme and a gain-scheduling scheme are also developed for application in air-conditioning systems.

AB - This paper investigates how to use robust model prediction control in air-conditioning systems. Air-conditioning processes are described using a first-order plus time-delay model associated with uncertainties in process gain, time constant and time-delay. An uncertainty polytope is developed to describe the corresponding uncertainties when the continuous model is sampled into a discrete one and further reformulated as a state-space model. Offline LMI-based MPC is then employed to design robust controller. In order to improve control performance, an operating mode identification scheme and a gain-scheduling scheme are also developed for application in air-conditioning systems.

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M3 - Conference article published in proceeding or book

SN - 9788995605691

SP - 1302

EP - 1307

BT - Proceedings of 2009 7th Asian Control Conference, ASCC 2009

T2 - 2009 7th Asian Control Conference, ASCC 2009

Y2 - 27 August 2009 through 29 August 2009

ER -

Investigation on the application of robust model predictive control on air-conditioning systems

Abstract

Conference

ASJC Scopus subject areas

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