DocumentCode :
183591
Title :
On batch process control using feature extraction with application to a gravimetric blender
Author :
Formentin, Simone ; Cologni, A.L. ; Previdi, F. ; Savaresi, Sergio M.
Author_Institution :
Dipt. di Ing., Univ. degli Studi di Bergamo, Dalmine, Italy
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
1138
Lastpage :
1143
Abstract :
In this paper, a data-driven control approach for batch processes based on feature extraction is proposed. In this strategy, a model of the system dynamics is not needed and the issue of adapting to different operating conditions is recast into a simple controller design problem. Throughout the paper, the proposed algorithm will be described in detail with the help of an experimental gravimetric blender example.
Keywords :
batch processing (industrial); blending; control system synthesis; feature extraction; plastics industry; principal component analysis; process control; PCA; batch process control; controller design problem; data-driven control approach; feature extraction; gravimetric blender; plastic industry; principal component analysis; system dynamics model; Batch production systems; Logic gates; Materials; Mixers; Principal component analysis; Trajectory; Valves; Control system architecture; Pattern recognition and classification; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858648
Filename :
6858648
Link To Document :
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