Application of Multivariable Adaptive Control to Automotive Air Conditioning Systems Conference Paper uri icon

abstract

  • This paper presents the application of a multivariable adaptive control strategy to a typical automotive air conditioning system. First, an experimentally validated physical model for the air conditioning cycle is introduced. This is followed by the application of a multi-input multioutput (MIMO) parameter estimation algorithm to recursively identify an equivalent discrete time state space model of the system. A Linear Quadratic Regulator (LQR) design is implemented on the estimated model with the objectives of reference tracking and disturbance rejection. Simulation studies are performed to explore the idea of modulating the electronic expansion valve opening and air flow rate over the evaporator for controlling the efficiency and capacity of a general automotive air conditioning unit. The results demonstrate the efficacy of the MIMO controller for these objectives.

name of conference

  • Dynamic Systems and Control, Volumes 1 and 2

published proceedings

  • Dynamic Systems and Control, Volumes 1 and 2

author list (cited authors)

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

citation count

  • 5

complete list of authors

  • Shah, Rajat||Alleyne, Andrew G||Rasmussen, Bryan P

publication date

  • January 2003