عنوان المقالة:نموذج السيطرة التنبؤية باستخدام الشبكات العصبية للمبخرات الغشاء الساقط في معمل الالبان Neural Network Model predictive control for diary Falling Film Evaporators
سعد علي احمد | Saad Ali Ahmed | 3663
- Publication Type
- Journal
- Arabic Authors
- سعد علي احمد , عنية علي احمد, نصير هادي كاظم
- English Authors
- S.A. Ahmed, G.A. Ahmed ,N.H.Kadhum
- Abstract
- A nonlinear neural network model predictive control (NNMPC) is proposed for an industrial evaporator system. This research is conducted in the Abo-Greeb state enterprise of dairy products. Evaporation process and its prediction model is used in the controller design. In this paper, a nonlinear model of the evaporator system components are described, thepresentedmodel of the evaporator system is done with MatLab Simulink 2014b.NNMPC based technique for developing nonlinear dynamic models is carried out from empirical data. Results shows that MPC can be used efficiently in control such systems.
- Publication Date
- 4/1/2017
- Publisher
- الجامعة التكنولوجية- مجلة الهندسة والتكنولوجيا
- Volume No
- 35
- Issue No
- 1
- Pages
- 91- 96
- External Link
- http://www.uotechnology.edu.iq/tec_magaz/2017/Volume,%2035/No.%201,%202017/12.pdf
- Keywords
- Evaporator system, Falling Film, Evaporator, Model, NNMPC predictive control, modelling, Process control.