Abstract
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 language | Chinese (Simplified) |
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Pages (from-to) | 670-674 |
Number of pages | 5 |
Journal | Tongji Daxue Xuebao/Journal of Tongji University |
Volume | 34 |
Issue number | 5 |
Publication status | Published - 1 May 2006 |
Keywords
- Adaptive control
- Central air-conditioning system
- Optimal control
- Predictive model
- Real time online
ASJC Scopus subject areas
- General Engineering