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Soft Sensor based on Adaptive Linear Network for Distillation Process

International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 36 - Number 1
Year of Publication: 2011
Asha Rani
Vijander Singh
J. R. P Gupta

Asha Rani, Vijander Singh and J R P Gupta. Article: Soft Sensor based on Adaptive Linear Network for Distillation Process. International Journal of Computer Applications 36(1):39-45, December 2011. Full text available. BibTeX

	author = {Asha Rani and Vijander Singh and J. R. P Gupta},
	title = {Article: Soft Sensor based on Adaptive Linear Network for Distillation Process},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {36},
	number = {1},
	pages = {39-45},
	month = {December},
	note = {Full text available}


The main objective in refining units is to keep the product quality within specifications in the faces of disturbances. Online measurements of product composition using composition analyser are neither easy nor economically viable. In an effort to overcome these difficulties various soft sensors are designed in the recent years. In this research work, the authors have proposed the design of neural network based soft sensor for two types of chemical processes i.e. reactive distillation process and multicomponent distillation process. The designed soft sensor is based on adaptive linear network, Adaline and is used to infer the product composition from the temperature profile of the respective processes. For a comparative study Levenberg Marquardt based artificial neural network soft sensor is also designed. It is observed from the results that the Adaline based soft sensor is more efficient in comparison to LM based ANN soft sensor in terms of accuracy, time taken for training and memory usage.


  • Vijander Singh, Indra Gupta and H.O. Gupta, 2005, ANN Based Estimator for Distillation-Inferential Control, Chemical Engineering and Processing, vol.44, Issue 7, pp. 785-795, July 2005.
  • Vijander Singh, Indra Gupta and H.O. Gupta, 2007, ANN Based Estimator for Distillation using Levenberg-Marquardt Approach, special issue on Applications of Artificial Intelligence in Process Systems Engineering, Engineering Applications of Artificial Intelligence, Elsevier Science, vol.20, pp.249-259, 2007.
  • Yao Wu, Xionglin Luo, 2010, A Novel Calibration Approach of Soft Sensor Based on Multirate data Fusion Technology, Journal of Process Control, vol.20, pp.1252-1260, 2010.
  • Pierantonio Facco, Franco Doplicher, Fabrizio Bezzo, Massimiliano Barolo, 2009, Moving average PLS Soft Sensor for online Product Quality Estimation in an Industrial Batch Polymerization Process, Journal of Process Control, vol.19, pp.520-529, 2009.
  • Almila Bahar, and Canan Ozgen, 2010, State Estimation and Inferential Control for a Reactive Batch Distillation Column, Engineering Applications of Artificial Intelligence, vol.23, pp.260-270, 2010.
  • A. Rogina, I.Sisko, I. Mohler, Z. Uzevic, N. Bolf, 2011, Soft Sensor for Continuous Product quality estimation (in Crude Distillation Unit), Chemical Engineering Research and Design, vol.89, issue 10, Oct.2011, pp.2070-2077.
  • Ming-Da Ma, Jing-Wei Ko, San-Jang Wang, Ming-Feng Wu, Shi-Shang Jang, Shyan-Shu Shieh, David Shan-Hill Wong, 2009, Development of Adaptive Soft Sensor based on Statistical Identification of Key Variables, Control Engineering Practice, vol.17, pp.1026-1034, 2009.
  • S.R. Vijaya Raghavan, T.R. Radhakrishnan, K. Srinivasan, 2011, Soft Sensor Based Composition Estimation and Controller Design for an Ideal Reactive Distillation Column, ISA transactions, vol.50, pp.61-70, 2011.
  • L. Fortuna, S. Graziani, M.G. Xibilia, 2005, Soft Sensor for Product Quality Monitoring in Debutanizer Distillation Columns, Control Engineering Practice, vol.13, 499-508, 2005.
  • Fatima Barcelo Rico, Jose M. Gozalvez-Zefrilla, Jose Luis Diez, and Asuncion Santafe-Moros, 2011, Modeling and Control of a Continuous Distillation Tower through Fuzzy Techniques, Chemical Engineering Research and Design, vol.89, pp.107-115, 2011.
  • S.N. Sivanandam, S. Sumathi, and S.N. Deepa, Introduction to Neural Networks using MATLAB 6.0, TATA McGraw-Hill Publishing Company Limited, New Delhi, Edition 2006.
  • Simon Heykins, Neural Networks: A Comprehensive Foundation, Pearson Education, Second Edition 1999.
  • Hagan M.T., Demuth H.B., Beale M., Neural Network Design, Vikas Publishing House, 7 International Student Edition 2003.
  • William L. Luyben, Process Modelling, Simulation and Control for Chemical Engineers, McGraw-Hill Publishing Company, International Edition 1996.
  • M. A. Al-Arfaj and W. L. Luyben, Comparison of alternative control structures for an ideal two-product reactive distillation column, Ind. Eng. Chem. Res., vol. 39, pp.3298-3307, 2000.