DocumentCode :
2513581
Title :
Application of Kalman filtering to zinc coating mass estimation
Author :
Goodwin, Graham C. ; Jeong, Sang ; Carlton, Arthur ; Wallace, Glen
Author_Institution :
Centre for Ind. Control Sci., Newcastle Univ., NSW, Australia
fYear :
1994
fDate :
24-26 Aug 1994
Firstpage :
1539
Abstract :
A common measurement problem in industry is when a variable of interest has a spatial or two-dimensional distribution. Typical applications occur in the processing of rolled metal strip or in the production of paper. This paper deals with the estimation and control of zinc coating mass in a continuous galvanizing line. This problem has inherent spatial characteristics. The proposed algorithm estimates both cross-machine direction and machine direction components. The algorithm has been implemented in an industrial setting, and data from this installation is presented
Keywords :
Kalman filters; coatings; metallurgical industries; parameter estimation; process control; Kalman filtering; continuous galvanizing line; cross-machine direction; inherent spatial characteristics; machine direction components; zinc coating mass estimation; Coatings; Kalman filtering; Metals industry; Parameter estimation; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
Type :
conf
DOI :
10.1109/CCA.1994.381487
Filename :
381487
Link To Document :
بازگشت