Predictive control of a multi-component distillation column based on neural networks

Author

Brizuela, E. ; Uría, M. ; Lamanna, R.

Author_Institution

Dipartimento Procesos y Systemas, Univ. Simon Bolivar, Caracas, Venezuela

fYear

1996

Firstpage

270

Lastpage

278

Abstract

A predictive scheme to control the top-product and bottom-product compositions of a three component distillation column is presented. A nonlinear model of the process for prediction of future outputs is implemented using a feed forward neural network (FNN). Operation of the column under different perturbations is analyzed using several alternatives of the neural-predictive-control strategy designed. The system behavior is compared with that of a PI controlled plant

Keywords

distillation; feedforward neural nets; neurocontrollers; nonlinear control systems; predictive control; process control; bottom-product composition; feedforward neural network; multicomponent distillation column; nonlinear model; predictive control; three-component distillation column; top-product composition; Control system synthesis; Control systems; Control theory; Distillation equipment; Feedforward neural networks; Network synthesis; Neural networks; Nonlinear dynamical systems; Predictive control; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings., International Workshop on

Conference_Location

Venice

Print_ISBN

0-8186-7456-3

Type

conf

DOI

10.1109/NICRSP.1996.542769

Filename

542769