ISSN:
0001-1541
Keywords:
Chemistry
;
Chemical Engineering
Source:
Wiley InterScience Backfile Collection 1832-2000
Topics:
Chemistry and Pharmacology
,
Process Engineering, Biotechnology, Nutrition Technology
Notes:
The new time-optimal control algorithms presented do not require a-priori knowledge of the process dynamics. They are applicable to systems that can be described by a second-order (or first-order) plus deadtime model and generate a dynamic model as a byproduct. Simulations presented illustrate the use of these algorithms in time-optimal control and the process models obtained. The algorithms are robust with respect to the measurement noise often encountered in real chemical processes and are inherently adaptive to changes in the process dynamics with time. An experimental application to the heatup of a laboratory fiber spinning apparatus is presented.Since these time-optimal control algorithms are easy to apply and give rapid, smooth responses, they will be of value even when obtaining minimum-time response is not a critical issue. Such applications include startup of continuous and batch processes. Moreover, they can be used to determine first- or second-order process models (as appropriate) from open-loop step response data without actually implementing time-optimal control.
Additional Material:
12 Ill.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1002/aic.690390608
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