DocumentCode :
300829
Title :
Integrated inferential estimation and control
Author :
Manquat, F. Brunert ; Willis, M.J. ; Tham, M.T.
Author_Institution :
Dept. of Chem. & Process Eng., Newcastle upon Tyne Univ., UK
Volume :
5
fYear :
1995
fDate :
21-23 Jun 1995
Firstpage :
3566
Abstract :
In this contribution a multi-rate adaptive inferential control law is proposed. The algorithm is based upon the synthesis of an adaptive inferential estimation algorithm and the generalised minimum variance control algorithm. The algorithm it applied to a nonlinear simulation of a binary distillation column. It it demonstrated that the technique can provide enhanced performance when compared to alternate model based control philosophies
Keywords :
adaptive control; adaptive estimation; distillation; predictive control; process control; binary distillation column; generalised minimum variance control algorithm; integrated inferential estimation/control; multi-rate adaptive inferential control law; nonlinear simulation; Adaptive control; Chemical processes; Delay effects; Delay estimation; Noise measurement; Parameter estimation; Performance evaluation; Programmable control; State estimation; Time measurement;
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.1995.533801
Filename :
533801
Link To Document :
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