Parametric sensitivity analysis and model tuning applied to vapor compression systems Conference Paper

abstract

• This paper presents a parameter sensitivity analysis for a low-order control-oriented dynamic model of a subcritical vapor compression system. The results are used to tune immeasurable model parameters, account for the unmodeled system dynamics, and are applied to fault detection residual design. The models are validated against data taken from an experimental test stand, and the sensitivity based model tuning is shown to improve the model accuracy while providing enhanced physical insight into system dynamics.

name of conference

• Dynamic Systems and Control, Parts A and B

authors

• Rasmussen, Bryan

published proceedings

• Proceedings of the ASME Dynamic Systems and Control Division 2005, Pts A and B

author list (cited authors)

• Keir, M. C., Rasmussen, B. P., & Alleyne, A. G.

citation count

• 2

complete list of authors

• Keir, Michael C||Rasmussen, Bryan P||Alleyne, Andrew G

publication date

• January 2005

publisher

• ASME International  Publisher

keywords

• Air-conditioning
• Control
• Dynamic Modeling
• Fault Detection
• Parameter Sensitivity

Digital Object Identifier (DOI)

• 10.1115/imece2005-81645

International Standard Book Number (ISBN) 10

• 0791842169

International Standard Book Number (ISBN) 13

• 978-0-7918-4216-4

start page

• 1203

end page

• 1212

volume

• 74 DSC

issue

• 2 PART B

URL

• http://dx.doi.org/10.1115/imece2005-81645