NONLINEAR STATIC COMPOSITION ESTIMATOR FOR DISTILLATION COLUMNS USING OPEN EQUATION-BASED NONLINEAR PROGRAMMING

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 328
  • Download : 2
In distillation colums control, secondary measurements such as temperatures and flows are widely used to infer product composition. This paper addresses the development of nonlinear static estimators using secondary measurements for estimating product compositions of distillation columns. An open equation-vased optimization provlem, which minimizes the diggerences between the measured outputs and the estimated outputs, has been formulated and solved by using the nonlinear program (NLP) solver, MINOS5. It is shown that the proposed nonlinear estimator is tobust and more poweful than the conventional PLS(Partial-LEAST-sQUARES)estimator.
Publisher
한국화학공학회
Issue Date
1998
Keywords

Distillation; Composition Estimator; Open Equation-Based Modeling; Nonlinear Static Estimator

Citation

Korean Journal of Chemical Engineering, Vol.15, No.6, pp.667-670

URI
http://hdl.handle.net/10203/25295
Appears in Collection
CBE-Journal Papers(저널논문)

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0