General Information
    • ISSN: 2010-0221
    • Frequency: Bimonthly
    • DOI: 10.18178/IJCEA
    • Editor-in-Chief: Prof. Dr. Shen-Ming Chen
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, CABI, DOAJ, Electronic Journals Library, Google Scholar, ProQuest, and Crossref
    • E-mail: ijcea@ejournal.net
  • Dec 06, 2017 News! Vol.8, No.6 has been published with online version. 9 peer reviewed papers are published in this issue.   [Click]
  • Oct 16, 2017 News! The papers published in Vol.8, No.4-5 have all received dois from Crossref.
Editor-in-chief
Prof. Dr. Shen-Ming Chen
National Taipei University of Technology, Taiwan
 

IJCEA 2010 Vol.1(2): 165-172 ISSN: 2010-0221
DOI: 10.7763/IJCEA.2010.V1.29

Design of Multivariable Neural Controllers Using a Classical Approach

Seshu K. Damarla and Madhusree  Kundu*

Abstract—In the present study, the neural network (NN) based multivariable controllers were designed as a series of single input-single output (SISO) controllers or multi variable SISO (MVSISO) controllers utilizing the classical decoupled process models. Multilayer feed forward networks (FFNN) were used as direct inverse neural network (DINN) controllers, which used the inverse dynamics of the decoupled process. To address the disturbance rejection problems, the IMC based neural control architecture was proposed with suitable choice of filter and disturbance transfer function. Multi input – multi output (MIMO) non-linear processes like interacting tank systems, temperature and level control of a mixing tank with hot and cold input streams & a (2×2) distillation process were considered as case studies for that purpose. Simplified as well as ideally decoupled process as well as disturbance transfer functions was used for neural controller design. DINN/IMC based NN controllers performed effectively well in comparison to conventional P/ PI/IMC based PI controllers for set-point tracking & regulator problems.

Index Terms— MVSISO, DINN, FFNN, NN-controller, MIMO, IMC, PI, decoupled process, decoupled disturbance

[PDF]

Cite: Seshu K. Damarla and Madhusree Kundu, "Design of Multivariable Neural Controllers Using a Classical Approach,"  International Journal of Chemical Engineering and Applications vol. 1, no. 2, pp. 165-172, 2010.  

Copyright © 2008-2015. International Journal of Chemical Engineering and Applications. All rights reserved
E-mail: ijcea@ejournal.net