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Physical model parameter estimation of a nonlinear process
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2007 (English)In: Proceedings of the 2006 IEEE International Conference on Control Applications Applications: Munich, Germany, 4 - 6 October 2006, Piscataway, NJ: IEEE Communications Society, 2007, 2933-2938 p.Conference paper (Refereed)
Abstract [en]

A physical model of a nonlinear subprocess in a continuous paper pulp digester is discussed and simplified. Model approximation is carried out in order to produce a simple linear model to be used for unknown parameter estimation of the physical model. The Taylor series expansion and the orthogonal collocation method are applied for the model linearization and model lumping, respectively. The reduced model is expressed as a standard state space form. The model parameters are estimated in the least squares sense, and the parameters retain their own physical meanings. The results of the parameter estimation are discussed and the model is verified using validation data.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2007. 2933-2938 p.
Research subject
Control Engineering
URN: urn:nbn:se:ltu:diva-35921DOI: 10.1109/CCA.2006.286075Local ID: aa788f50-86b2-11db-8975-000ea68e967bISBN: 0-7803-9795-9OAI: diva2:1009175
IEEE International Conference on Control Applications : 04/10/2006 - 06/10/2006
Godkänd; 2007; 20061121 (evan)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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Ding, LimeiGustafsson, ThomasJohansson, Andreas
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