NEW ALGORITHMS FOR INTELLIGENT IDENTIFICATION OF PAPER ALIGNMENT AND NONLINEAR SHRINKAGE

This paper is devoted to thr identification of the mapping between the CD actuators and the scanned profiles of the paper properties taking into account effect of paper shrinkage and misalignment. We describe n ew automated tools and methods for identification of alignment and shr inkage using advanced optimization technology. The approach allows us to achieve reliable identification of alignment and shrinkage despite the process noise. The developed automated tools perform excitation of the paper machine actuators collection and processing of the data. Th e tools hale been successfully used to improve CD control mapping for paper machines with various types of CD actuators.