Neural Network Control for a Batch Distillation Column
Article Sidebar
Main Article Content
Abstract
The present work deals with studying the dynamic behavior of a batch distillation column and implemented two types of control strategies for the separation different types of binary systems. The model was derived and then simulated using "MATLAB" program. The experimental data of dynamic behavior were to tune the parameters of PID controller and developed the training of neural networks controller by using supervised learning algorithms. The simulation results show a qualitatively acceptable behavior. This study shows also that the response of PID controller was oscillatory behavior with high offset value while neural network controller gave less offset value and less time to reach the steady state. In general, a good improvement is achieved when the neural network controller is used compared with PID control.
Metrics
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
THIS IS AN OPEN ACCESS ARTICLE UNDER THE CC BY LICENSE http://creativecommons.org/licenses/by/4.0/
Plaudit
References
- Perry, Green and Maloney, "Perry’s Chemical Engineer’s Handbook", 7th Edition, Mcgraw-Hill, Newyork, (1997).
- Betlem, "Batch Distillation Column Low – Order Models for Quality Program Control", Chemical Engineering Science, Vol. 55, PP. 3187 – 2194, (2000). DOI: https://doi.org/10.1016/S0009-2509(99)00584-9
- Li, Hoo and Wozny, "Efficient Simulation of Batch Distillation Processes By Using Orthogonal Collocation", Chemical Engineering Technology, Vol. 11, (1998). DOI: https://doi.org/10.1002/(SICI)1521-4125(199811)21:11<853::AID-CEAT853>3.0.CO;2-2
- Mohanad and Ramasamy, "Neural Network Based Soft Sensor for Inferential Control of A BinaryDistillation Column", MSc. Thesis, Chemical Engineering Department, University of Technology, (2009).
- Almıla and Canan, "State Estimation for a Reactive Batch Distillation Column" Department of Chemical Engineering, Middle East Technical University, (2010).
- Feng "Dynamic Neural Network Based Nonlinear Control of a Distillation Column", ICA, Vol.2, No. 4, (2011).
- Alkaya, D., "Determination of A Suitable Measurement Structure for Better Control of Distillation Columns", MSc. Thesis, Middle East Technical University, Ankara, (1990).
- Rumelhart and Mcclelland, "Parallel Distributed Processing: Explorations in the Microstructure of Cognition", Cambridge, Vol.1, MA: MIT Press, (1986). DOI: https://doi.org/10.7551/mitpress/5236.001.0001