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Multirate asynchronous state and parameter estimation for centrifugal compressors
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
2011 (English)Conference paper (Refereed)
Abstract [en]

A number of strategies for state and parameter estimation for a centrifugal compressor system are investigated using a nonlinear dynamical model. It is found that high frequency measurements can be combined with lower frequency measurements to achieve high fidelity state estimation for stable equilibria, limit cycles, as well as transients using either a multirate discrete extended Kalman filter or a data fusion based algorithm with one independent estimator per measurement. When there is a change in one of the parameters of the system only a filter designed to adapt to such changes produces estimates with acceptable errors for a locally stable equilibrium.

Place, publisher, year, edition, pages
2011. no PART 1, 2979-2984 p.
, IFAC Proceedings Volumes (IFAC-PapersOnline), ISSN 1474-6670 ; 18
Keyword [en]
Extended Kalman filters, Multirate, Multisensor integration, Parameter estimation, State estimation, High frequency measurements, Limit cycle, Lower frequencies, Multi rate, Nonlinear dynamical models, Stable equilibrium, Centrifugal compressors, Data fusion
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-149753DOI: 10.3182/20110828-6-IT-1002.00097ScopusID: 2-s2.0-84866761538ISBN: 9783902661937OAI: diva2:749413
18th IFAC World Congress; Milano; Italy; 28 August 2011 through 2 September 2011

QC 20140924

Available from: 2014-09-24 Created: 2014-08-27 Last updated: 2014-10-03Bibliographically approved

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Yang, Yuecheng
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Optimization and Systems Theory
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