Neural Network Model predictive control for diary Falling Film Evaporators | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 35, 1A, January 2017, Pages 91-96 PDF (996.33 K) | ||
| DOI: 10.30684/etj.2017.127315 | ||
| 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. | ||
| Keywords | ||
| Evaporator system; Falling Film; Evaporator; model; NNMPC predictive control; Modelling; Process Control | ||
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