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

Gongsheng Huang, Shengwei Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-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 languageEnglish
Title of host publicationProceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages1302-1307
Number of pages6
Publication statusPublished - 11 Dec 2009
Event2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, Hong Kong
Duration: 27 Aug 200929 Aug 2009

Conference

Conference2009 7th Asian Control Conference, ASCC 2009
CountryHong Kong
CityHong Kong
Period27/08/0929/08/09

ASJC Scopus subject areas

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

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