This paper deals with the parameter identification of a model for the dynamic behavior of a large industrial centrifugal compression system. Experimental results are presented to evaluate a new approach for determining the parameters of the modified version of the well-known Greitzer model. This approach is based on an approximate realization algorithm that constructs an LTI model from step response data. It is shown that the method is capable of providing estimates for a limited set of model parameters. In a subsequent sensitivity analysis it is proven that the identifiable parameter are all related to the dominant dynamics of the system. The main conclusion is that the suggested approach is capable of providing estimates for the various model parameters. However, identification is limited to those parameters that are associated with dynamics that can be excited during forced response experiments.
|Title of host publication
|Proceedings of the 2005 IEEE Conference on Control Applications (CCA 2005), 28-31 August 2005, Toronto, Canada
|Place of Publication
|Institute of Electrical and Electronics Engineers
|Published - 2005