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.
رجوع