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Parametric Sensitivity Analysis and Model Tuning Applied to Vapor Compression Systems

[+] Author Affiliations
Michael C. Keir, Bryan P. Rasmussen, Andrew G. Alleyne

University of Illinois at Urbana-Champaign

Paper No. IMECE2005-81645, pp. 1203-1212; 10 pages
doi:10.1115/IMECE2005-81645
From:
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Dynamic Systems and Control, Parts A and B
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 0-7918-4216-9 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME

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.

Copyright © 2005 by ASME

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