@inproceedings{ad9de8dc3bc9461586fbe5c6046e3aeb,
title = "Parametric sensitivity analysis and model tuning applied to vapor compression systems",
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.",
keywords = "Air-conditioning, Control, Dynamic modeling, Fault detection, Parameter sensitivity",
author = "Keir, {Michael C.} and Rasmussen, {Bryan P.} and Alleyne, {Andrew G.}",
year = "2005",
doi = "10.1115/IMECE2005-81645",
language = "English (US)",
isbn = "0791842169",
series = "American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC",
number = "2 PART B",
pages = "1203--1212",
booktitle = "Proceedings of the ASME Dynamic Systems and Control Division 2005",
edition = "2 PART B",
note = "2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 ; Conference date: 05-11-2005 Through 11-11-2005",
}