Optimization-based estimator for the contour and movement of heavy plates in hot rolling. (May 2015)

• Record Type: Journal Article
• Authors: Schausberger, F.; Steinboeck, A.; Kugi, A.
• Is Part Of: Journal of process control. Volume 29(2015:May)
• Page Start: 23
• Page End: 32
• Publication Date: 2015-05
• Subjects: Plate contour measurement -- Heavy plate mill -- Unconstrained optimization -- Moving horizon state estimation -- Moving horizon parameter estimation -- Model-based estimator -- Image stitching -- Snaking; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2015.03.006
• Languages: English
• ISSNs: 0959-1524

Abstract

Abstract : Graphical abstract: Abstract : Highlights: An optimization-based algorithm to estimate the contour of heavy plates is presented. In addition, the algorithm estimates the angular velocity and the speed of the plate. A comparison with measurement data shows a good accuracy of the proposed method. Suitable for real-time estimation of the plate contour due to its fast computing time. Abstract: This paper deals with the estimation of the contour of heavy plates during the hot rolling process. Asymmetric rolling conditions lead to a non-rectangular contour. The reasons for this effect, e.g., temperature gradients or non-homogeneous input thickness profiles, are hard to predict in a real rolling mill. Hence, feedforward compensation of these disturbances is difficult, whereas feedback control could be a suitable means for improving the plate contour. Feedback control essentially requires the actual contour of the plate, which has to be measured or estimated in real-time. The method presented in this paper suggests to capture an image sequence of the plate by means of a thermographic measurement device. In the considered application, an image sequence is required because the whole plate contour cannot be captured by a single image. An optimization-based algorithm takes into account the image data and the restrictions of the plate movement in the rolling gap and uses this information to estimate the actual plate contour. In addition, the algorithm estimates the angular velocity and the speed of the plate. Measurement data from a heavy plate mill is used to validate the effectiveness of the proposed method.