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Least Squares Identification with Application to Shape Control in a Sendzimir Cold Rolling Steel Mill
Ringwood, John
A least squares technique for the on-line identification of the input/output characteristics of a Sendzimir rolling cluster is presented. Based on this technique, explicit and implicit self-tuning shape control schemes, using existing control algorithms, are derived. Two control structures, utilising different numbers of plant control inputs, are considered. While a simplistic approach to the problem is taken (resulting in easily implementable self-tuning schemes), the parameter estimates and subsequent control achieved are shown to be adequate for the application. A variety of simulation results are given.
Keyword(s): Least squares methods; Shape control; Steel; Milling machines; Strips; Hydraulic actuators; Processor scheduling; Automatic control; Finite impulse response filter; Design engineering
Publication Date:
1985
Type: Book chapter
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Ringwood, John (1985) Least Squares Identification with Application to Shape Control in a Sendzimir Cold Rolling Steel Mill. In: American Control Conference 1985. IEEE, pp. 1359-1364.
Publisher(s): IEEE
File Format(s): other
Related Link(s): http://eprints.maynoothuniversity.ie/9571/1/JR-Least-1985.pdf
First Indexed: 2018-06-20 06:00:16 Last Updated: 2018-06-20 06:00:16