Neural network model predictive control for diary falling film evaporators
Joint Authors
Ahmad, G. A.
Kadhum, N. H.
Ahmad, Sad Ali
Source
Engineering and Technology Journal
Issue
Vol. 35, Issue 1A (31 Jan. 2017), pp.91-96, 6 p.
Publisher
Publication Date
2017-01-31
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
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
American Psychological Association (APA)
Ahmad, Sad Ali& Ahmad, G. A.& Kadhum, N. H.. 2017. Neural network model predictive control for diary falling film evaporators. Engineering and Technology Journal،Vol. 35, no. 1A, pp.91-96.
https://search.emarefa.net/detail/BIM-968749
Modern Language Association (MLA)
Ahmad, Sad Ali…[et al.]. Neural network model predictive control for diary falling film evaporators. Engineering and Technology Journal Vol. 35, no. 1A (2017), pp.91-96.
https://search.emarefa.net/detail/BIM-968749
American Medical Association (AMA)
Ahmad, Sad Ali& Ahmad, G. A.& Kadhum, N. H.. Neural network model predictive control for diary falling film evaporators. Engineering and Technology Journal. 2017. Vol. 35, no. 1A, pp.91-96.
https://search.emarefa.net/detail/BIM-968749
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 96
Record ID
BIM-968749
