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Model-driven system identification of transcritical vapour compression systems.

Author(s) : RASMUSSEN B. P., ALLEYNE A. G., MUSSER A.

Type of article: Periodical article

Summary

This paper uses an air-conditioning system to illustrate the benefits of iteratively combining first principles and system identification techniques to develop control-oriented models of complex systems. A transcritical vapour-compression system is initially modelled with first principles and then verified with experimental data. The results demonstrate that iteratively modelling a complex system with first principles and system identification techniques gives greater confidence in the first principles model, and better understanding of the underlying physical dynamics. Although this iterative process requires more time and effort, significant insight and model improvements can be realized.

Details

  • Original title: Model-driven system identification of transcritical vapour compression systems.
  • Record ID : 2006-1689
  • Languages: English
  • Source: Univ. Illinois, Dep. mech. ind. Eng. - 7 p.; fig.; tabl.; 26 ref.
  • Publication date: 2003/04/30

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