State and Parameter Estimation in a Winder based on Second Order Polynomial Approximations

Author

Mokhtari, Fouad ; Sicard, Pierre

Author_Institution

Groupe de Recherche en Electron. Industrielle, Quebec Univ., Trois-Rivieres, Que.

Volume

1

fYear

2006

fDate

9-13 July 2006

Firstpage

378

Lastpage

383

Abstract

To observe the state and estimate parameters of nonlinear systems, many estimators have been proposed, many of them being nonlinear extensions of the Kalman filter. In Web handling and winder systems, some parameters such as roll radius and inertia can be approximated from measurements, but Young modulus of the Web, e.g. paper, is very sensitive to humidity and temperature but cannot be measures directly online. A filter based on second order polynomial approximations is used to observe the state of a winder (Web velocity and Web strain) and to estimate the Young modulus in each Web section and the viscous friction of each motor

Keywords

Internet; Kalman filters; machine windings; nonlinear systems; parameter estimation; polynomial approximation; power engineering computing; power filters; state estimation; Kalman filter; Web handling; Web strain; Web velocity; Young modulus estimation; nonlinear systems; parameter estimation; second order polynomial approximations; state estimation; winder systems; Capacitive sensors; Humidity measurement; Information filtering; Information filters; Nonlinear systems; Parameter estimation; Polynomials; State estimation; Temperature sensors; Young´s modulus;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2006 IEEE International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0496-7

Electronic_ISBN

1-4244-0497-5

Type

conf

DOI

10.1109/ISIE.2006.295623

Filename

4077954