Abstract
Vapor compression systems form the basis for the majority of air conditioning and refrigeration systems. A primary control challenge addressed here is the coupled nonlinear multiple-inputmultiple-output (MIMO) dynamics associated with the multiphase heat and mass transfer in the primary refrigerant loop. This paper develops a MIMO gain scheduled control strategy to regulate system efficiency while meeting changing demands for cooling capacity. An approach based on the Youla parameterization is shown to be a generalization of the more common local controller network method, while exposing several degrees of design freedom that can be exploited to improve stability. The challenge of guaranteeing stability of the nonlinear closed loop systems, despite endogenous and arbitrarily fast gain scheduling, is addressed. Experimental results confirm the effectiveness of the proposed approach.
Original language | English (US) |
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Article number | 5339092 |
Pages (from-to) | 1216-1225 |
Number of pages | 10 |
Journal | IEEE Transactions on Control Systems Technology |
Volume | 18 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2010 |
Externally published | Yes |
Bibliographical note
Funding Information:Manuscript received March 15, 2008; revised August 07, 2009; accepted August 28, 2009. Manuscript received in final form October 16, 2009. First published November 20, 2009; current version published August 25, 2010. Recommended by Associate Editor J. H. Lee. This work was supported in part by the Air Conditioning and Refrigeration Center, University of Illinois at Urbana-Champaign, under Project #163, and by the ASME Graduate Teaching Fellowship.
Keywords
- Air conditioning
- gain-scheduling
- heating, ventilation, and air-conditioning (HVAC)
- lyapunov
- nonlinear control