A real-time online supervisory predictive model of central air-conditioning system

Hua Meng, Shengwei Wang, Weiding Long

Research output: Journal article publicationJournal articleAcademic researchpeer-review


An online predictive supervisory optimal controller model of a central chilled water system is developed by integrating the model level, performance and parameter identification. The model is based on simple physical properties and online parameters identification with adaptive control technique. It forecasts in real time the operating and control characteristics of the whole system with a self-tuning method.
Original languageChinese (Simplified)
Pages (from-to)670-674
Number of pages5
JournalTongji Daxue Xuebao/Journal of Tongji University
Issue number5
Publication statusPublished - 1 May 2006


  • Adaptive control
  • Central air-conditioning system
  • Optimal control
  • Predictive model
  • Real time online

ASJC Scopus subject areas

  • Engineering(all)

Cite this