Parametric sensitivity analysis and model tuning applied to vapor compression systems

Michael C. Keir, Bryan P. Rasmussen, Andrew G. Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Dynamic Systems and Control Division 2005
Pages1203-1212
Number of pages10
Edition2 PART B
DOIs
StatePublished - Dec 1 2005
Event2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 - Orlando, FL, United States
Duration: Nov 5 2005Nov 11 2005

Publication series

NameAmerican Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
Number2 PART B
Volume74 DSC

Other

Other2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005
CountryUnited States
CityOrlando, FL
Period11/5/0511/11/05

Keywords

  • Air-conditioning
  • Control
  • Dynamic modeling
  • Fault detection
  • Parameter sensitivity

ASJC Scopus subject areas

  • Mechanical Engineering
  • Software

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