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2018 | 98 | 214-220
Article title

Distillation Column Control in Labview Using Fuzzy Interference System

Content
Title variants
Languages of publication
EN
Abstracts
EN
The growing importance of batch processes has recently targeted attention on the problem of rising the performance of batch operations. However, there's a low degree of automation of batch units in the present scenario. Fuzzy logic could be a fantastic human idea, doubtless applicable to a good vary of processes and tasks that need human intuition and knowledge. Fuzzy logic are often applied by means of software, dedicated controllers, or fuzzy microprocessors. Under conventional control, the average reflux rate enforced on a batch process was over the average reflux rate enforced with fuzzy algorithms, that is our planned methodology.
Year
Volume
98
Pages
214-220
Physical description
Contributors
  • Electrical & Electronics Section, Ibri College of Technology, Ibri, Sultanate of Oman
  • Electrical & Electronics Section, Ibri College of Technology, Ibri, Sultanate of Oman
author
  • Electrical & Electronics Section, Ibri College of Technology, Ibri, Sultanate of Oman
References
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  • [3] Richa Sharma, K.P.S. Rana, Vineet Kumar. Performance analysis of fractional order fuzzy PID controllers applied to a robotic manipulator. Expert Systems with Applications Volume 41, Issue 9, July 2014, Pages 4274-4289
  • [4] Yanhe Xu, Jianzhong Zhou, Xiaoming Xue, Wenlong Fu, Wenlong Zhu, Chaoshun Li. An adaptively fast fuzzy fractional order PID control for pumped storage hydro unit using improved gravitational search algorithm. Energy Conversion and Management Volume 111, 1 March 2016, Pages 67-78
  • [5] J. Fernandezde Canete, P. del Saz-Orozco, S.Gonzalez, I. Garcia-Moral. Dual composition control and soft estimation for a pilot distillation column using a neurogenetic design. Computers & Chemical Engineering Volume 40, 11 May 2012, Pages 157-170
  • [6] Jarinah Mohd Ali, M.A. Hussain, Moses O.Tade, Jie Zhang, Artificial Intelligence techniques applied as estimator in chemical process systems – A literature survey. Expert Systems with Applications Volume 42, Issue 14, 15 August 2015, Pages 5915-5931
  • [7] Nasser Mohamed Ramli, M.A .Hussain, Badrul Mohamed Jan, Bawadi Abdullah. Composition Prediction of a Debutanizer Column using Equation Based Artificial Neural Network Model. Neurocomputing Volume 131, 5 May 2014, Pages 59-76
  • [8] Salvador Tututi-Avila, Arturo Jiménez-Gutiérrez. Control of Dividing-Wall Columns via Fuzzy Logic. Industrial & Engineering Chemistry Research, 2013, 52 (22), pp. 7492–7503, DOI: 10.1021/ie302836y
  • [9] Salvador Tututi-Avila, Arturo Jiménez-Gutiérrez, Juergen Hahn. Analysis of Multi-Loop Control Structures of Dividing-Wall Distillation Columns Using a Fundamental Model. Processes 2014, 2 (1), 180-199
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  • [12] Dalibor Petkovic, Mirna Issa, Nenad D. Pavlovic, Lena Zentner, Md Nor Ridzuan Daud, Shahaboddin Shamshirband, (2014). Contact positions estimation of sensing structure using adaptive neuro-fuzzy inference system, Kybernetes, Vol. 43 Issue: 5, pp. 783-796, https://doi.org/10.1108/K-03-2013-0041
  • [13] John Webb, W, Ronald Reis, A., Programmable Logic Controllers Principles and Applications, 3rd Edition, Prentice hall Inc., New Jersey, 1995.
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Document Type
short_communication
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.psjd-40c0379a-b6e7-4340-9890-278b2a1c5d55
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