DocumentCode :
300758
Title :
Low order modeling for nonlinear process control
Author :
Balasubramhanya, Lalitha S. ; Doyle, Francis J.
Author_Institution :
Sch. of Chem. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
4
fYear :
1995
fDate :
21-23 Jun 1995
Firstpage :
2682
Abstract :
A key tenet of robust control theory is that robust performance is closely tied to model accuracy. However, detailed models lead to computationally intractable problems and simplified linear models cannot effectively capture the range of behavior exhibited by a nonlinear system such as a high-purity distillation column. Many distributed parameter systems including distillation columns and fixed bed reactors exhibit the phenomena of travelling waves in their transport behavior. Low order models based on the travelling waves of the composition profiles in the column are nonlinear, mathematically concise, and effective in capturing the behavior of a distillation column. These models are used in a nonlinear state feedback control scheme to obtain tight control of the column
Keywords :
chemical industry; distillation; distributed parameter systems; modelling; nonlinear control systems; process control; robust control; state feedback; distillation column; distributed parameter systems; low order modeling; nonlinear process control; nonlinear state feedback; robust control; travelling waves; Computational modeling; Control systems; Distillation equipment; Ear; Inductors; Nonlinear control systems; Process control; Reduced order systems; Robust control; State feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
Type :
conf
DOI :
10.1109/ACC.1995.532335
Filename :
532335
Link To Document :
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