Double command model-free hybrid control of a nonlinear CSTR

Morteza Mohammadzaheri*, Hamidreza Atrinejad, Mehdi Kasaee Kopaei, Fariba Behnia-Willison

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

in this paper, a new methodology for feedforward-feedback control system design is proposed. Initially, the concept of control equilibrium point is introduced. Using this concept, the steady state control command is determined so as to maintain the desired situation of the system. Non-model-based feedforward control law is conducted on this basis using an artificial neural network. The feedback controller is a gain pushing the system towards the reference. In this article, the case study is the concentration control of a non-thermic Catalytic Stirred Tank Reactor (CSTR). Using the proposed control system, the value of feedback controller gain can be arbitrarily high with a guaranteed BIBO stability. The mathematical model of the system is used neither in design nor in stability analysis, and stability of the control system is addressed using some evident practical assumptions which can be extended to many other systems. In this case study, the level height of the reactor is not particularly subject to control but the control system is so designed that this variable never goes lower than a specified limit. The proposed method returns surprisingly good results in comparison with the results with a well-designed fuzzy control system.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010
Pages227-232
Number of pages6
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010 - Bali, Indonesia
Duration: Sep 28 2010Sep 30 2010

Other

Other2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010
CountryIndonesia
CityBali
Period9/28/109/30/10

Keywords

  • Artificial neural networks
  • CSTR
  • Feedforward control
  • Nonlinear control
  • Process control

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics
  • Modelling and Simulation

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