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

Gongsheng Huang
, Shengwei Wang

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › 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. ©2009 ACA.

Original language	English
Title of host publication	Proceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages	1302-1307
Publication status	Published - 2009
Externally published	Yes
Event	7th Asian Control Conference (ASCC 2009) - Hong Kong Convention and Exhibition Centre, Hong Kong, China Duration: 27 Aug 2009 → 29 Aug 2009

Conference

Conference	7th Asian Control Conference (ASCC 2009)
Place	China
City	Hong Kong
Period	27/08/09 → 29/08/09

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@inproceedings{76101a0a75f04370bce7110f1d07ceec,

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. {\textcopyright}2009 ACA.",

author = "Gongsheng Huang and Shengwei Wang",

year = "2009",

language = "English",

isbn = "9788995605691",

pages = "1302--1307",

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

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

}

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: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Investigation on the application of robust model predictive control on air-conditioning systems

AU - Huang, Gongsheng

AU - Wang, Shengwei

PY - 2009

Y1 - 2009

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. ©2009 ACA.

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. ©2009 ACA.

UR - https://www.scopus.com/pages/publications/71449118592

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-71449118592&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9788995605691

SP - 1302

EP - 1307

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

T2 - 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

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