Title :
PID self-tuning controller for aluminium rolling mill
Author :
Brown, R.E. ; Maliotis, G.N. ; Gibby, J.A.
Author_Institution :
Quest Eng. Inc., Atlanta, GA, USA
Abstract :
An implementation of a self-tuning proportional-integral-derivative (PID) controller on a single-stand cold-rolling aluminium mill is described. The approach compensates for changes in the process and product without requiring a priori knowledge of these changes. The design is based on an adaptive control scheme in which the control coefficients are adjusted according to estimates of the plant parameters and a preselected desired performance for the control system. The weaknesses of the types of controllers currently used, the goals of the self-tuning control system, a summary of its design, and the parameter estimator algorithm are discussed. A summary of the implementation results is presented.<>
Keywords :
adaptive control; aluminium; metallurgical industries; parameter estimation; process computer control; rolling mills; self-adjusting systems; three-term control; Al; PID self-tuning controller; adaptive control; design; metallurgical industries; parameter estimator algorithm; performance; process computer control; rolling mill; three-term control; Aluminum; Automatic control; Control systems; Delay estimation; Feedback; Milling machines; Parameter estimation; Strips; Three-term control; Tuning;
Conference_Titel :
Industry Applications Society Annual Meeting, 1990., Conference Record of the 1990 IEEE
Conference_Location :
Seattle, WA, USA
Print_ISBN :
0-87942-553-9
DOI :
10.1109/IAS.1990.152364