Back to Search
Start Over
A robust model predictive control strategy for improving the control performance of air-conditioning systems
- Source :
-
Energy Conversion & Management . Oct2009, Vol. 50 Issue 10, p2650-2658. 9p. - Publication Year :
- 2009
-
Abstract
- Abstract: This paper presents a robust model predictive control strategy for improving the supply air temperature control of air-handling units by dealing with the associated uncertainties and constraints directly. This strategy uses a first-order plus time-delay model with uncertain time-delay and system gain to describe air-conditioning process of an air-handling unit usually operating at various weather conditions. The uncertainties of the time-delay and system gain, which imply the nonlinearities and the variable dynamic characteristics, are formulated using an uncertainty polytope. Based on this uncertainty formulation, an offline LMI-based robust model predictive control algorithm is employed to design a robust controller for air-handling units which can guarantee a good robustness subject to uncertainties and constraints. The proposed robust strategy is evaluated in a dynamic simulation environment of a variable air volume air-conditioning system in various operation conditions by comparing with a conventional PI control strategy. The robustness analysis of both strategies under different weather conditions is also presented. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 01968904
- Volume :
- 50
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Energy Conversion & Management
- Publication Type :
- Academic Journal
- Accession number :
- 43524299
- Full Text :
- https://doi.org/10.1016/j.enconman.2009.06.014