Application of a multivariable adaptive control strategy to automotive air conditioning systems Academic Article

abstract

• This paper presents the application of a multivariable adaptive control strategy to a typical automotive air conditioning system. An experimentally validated physical model for the air conditioning (a/c) cycle is first presented and is subsequently used to choose a relevant model structure for indirect adaptive control. Recursive identification of this model structure is carried out using a multi-input multi-output (MIMO) parameter estimation algorithm to obtain an equivalent discrete-time state space model of the a/c system. Linear quadratic regulator (LQR) design is implemented on the estimated model with the objectives of reference tracking and disturbance rejection. Simulation studies are presented to evaluate the advantages of using the electronic expansion valve and the air flow rate over the evaporator to control the efficiency and the capacity of a general automotive a/c unit using this adaptive control approach. The results demonstrate the efficacy of the MIMO controller and motivate further research in this area. Copyright 2004 John Wiley & Sons, Ltd.

authors

• Rasmussen, Bryan

published proceedings

• INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

author list (cited authors)

• Shah, R., Rasmussen, B. P., & Alleyne, A. G.

citation count

• 40

complete list of authors

• Shah, R||Rasmussen, BP||Alleyne, AG

publication date

• January 2004

publisher

• Wiley  Publisher

published in

• INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING  Journal

keywords

• Air Conditioning
• Multivariable Adaptive Control
• State Space Control

Digital Object Identifier (DOI)

• 10.1002/acs.787

start page

• 199

end page

• 221

volume

• 18

issue

• 2

URL

• http://dx.doi.org/10.1002/acs.787