Neural Network Model Predictive Control Applied to a Fed-batch Sugar Crystallization

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Luis A. Paz Suárez (Author) FEUP; Petia Georgieva (Author) FEUP; Sebastião Feyo de Azevedo (Author) FEUP

Conference proceedings International

Title: CONTROLO 2008

Pages: 142-148

8th Portuguese Conference on Automatic Control

Vila Real, Portugal, 21 a 23 Julho de 2008

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

CORDIS: Technological sciences

Other information

Abstract (EN): This paper is focused on a comprehensive study of neural network (NN) model based predictive control (MPC), as an operation strategy for a fed-batch sugar crystallizer. The process is divided into four subsequent control loops and for each of them an individual NN-based MPC is designed. The operation is tested for a number of scenarios and is compared with alternative (linear and batch nonlinear MPC) control solutions. The results demonstrate that the NN-MPC is a promising alternative of the traditionally applied linear controllers when the process is strongly nonlinear and input-output data is the only process information available.

Language: English

Type (Professor's evaluation): Scientific