Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29530
Title: A robust model predictive control strategy for improving the control performance of air-conditioning systems
Authors: Huang, G
Wang, S 
Xu, X
Keywords: Air-conditioning system
Robust model predictive control
Robustness
Time-delay uncertainty
Issue Date: 2009
Publisher: Pergamon Press
Source: Energy conversion and management, 2009, v. 50, no. 10, p. 2650-2658 How to cite?
Journal: Energy conversion and management 
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.
URI: http://hdl.handle.net/10397/29530
ISSN: 0196-8904
EISSN: 1879-2227
DOI: 10.1016/j.enconman.2009.06.014
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