DocumentCode :
313793
Title :
On-line optimization of the Tennessee Eastman challenge process
Author :
Yan, Ming ; Ricker, N.L.
Author_Institution :
Dept. of Chem. Eng., Washington Univ., Seattle, WA, USA
Volume :
5
fYear :
1997
fDate :
4-6 Jun 1997
Firstpage :
2960
Abstract :
A real-time optimization (RTO) strategy that eliminates the steady-state-wait requirement of conventional RTO is described. To ensure its success, four critical components-dynamic modeling, online parameter and state estimation, a plant-wide control system, and an optimization algorithm-must be well coordinated. It is especially effective when conventional RTO cannot be used, and sustained disturbances occur on a time scale that is close to the plant response time. This strategy was applied to the Tennessee Eastman challenge process, a process involving separation and compression (Downs and Vogel, “A plant-wide industrial process control problem,” Computers and Chemical Engineering, vol.17, no.3, p.245-55, 1993). RTO saved up to 6% of the operating cost relative to the cases without RTO
Keywords :
compressors; nonlinear control systems; online operation; optimal control; parameter estimation; predictive control; process control; real-time systems; separation; state estimation; Tennessee Eastman challenge process; compression; dynamic modeling; online optimization; online parameter estimation; online state estimation; optimal control; plant response time; plant-wide control system; real-time optimization; separation; steady-state-wait requirement; Chemical engineering; Chemical industry; Computer industry; Control engineering computing; Control system synthesis; Delay; Industrial control; Process control; State estimation; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
ISSN :
0743-1619
Print_ISBN :
0-7803-3832-4
Type :
conf
DOI :
10.1109/ACC.1997.612000
Filename :
612000
Link To Document :
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