Application of subspace methods to the identification of a winding process

T. Bastogne, H. Noura, A. Richard, J. M. Hittinger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)


In this paper, a linear model identification of a winding pilot plant for a tension control application is presented. Such a system is characterised by strong interactions between the tensions, frictions, distorsions, sliding and bending effects which make the tension control difficult to handle. Moreover, most of physical state variables as the radius are not measured. Herein, a black-box identification approach based on subspace methods is developed in order to estimate a nominal state-space model around a given operating point. A Linear Quadratic Gaussian (LQG) controller has been implemented to illustrate the applicability of the estimated model. While the pilot plant is non linear, results of this application show that such an 'average' state-space model is enough to obtain interesting tension control performances on the whole winding zone.

Original languageEnglish
Title of host publicationECC 1997 - European Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9783952426906
Publication statusPublished - Apr 8 1997
Externally publishedYes
Event4th European Control Conference, ECC 1997 - Brussels, Belgium
Duration: Jul 1 1997Jul 4 1997

Publication series

NameECC 1997 - European Control Conference


Other4th European Control Conference, ECC 1997


  • Subspace methods
  • System identification
  • Tension control
  • Winding process

ASJC Scopus subject areas

  • Control and Systems Engineering


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