Title :
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
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;
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
DOI :
10.1109/NICRSP.1996.542769
