Title :
Application of subspace methods to the identification of a winding process
Author :
Bastogne, T. ; Noura, H. ; Richard, A. ; Hittinger, J.-M.
Author_Institution :
Centre de Rech. en Autom. de Nancy (CRAN), Univ. Henri Poincare Nancy 1, Vandoeuvre, France
Abstract :
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, distorsione, 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.
Keywords :
continuous time systems; force control; linear quadratic Gaussian control; parameter estimation; winding (process); LQG controller; black-box identification; continuous-time system; linear model identification; linear quadratic Gaussian controller; nominal state-space model estimation; subspace method; tension control application; winding pilot plant; winding process; Covariance matrices; Estimation; Mathematical model; Process control; State-space methods; Strips; Windings; Subspace methods; System identification; Tension control; Winding process;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6