Type-2 fuzzy model based controller design for neutralization processes

Tufan Kumbasar*, Ibrahim Eksin, Mujde Guzelkaya, Engin Yesil

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

In this study, an inverse controller based on a type-2 fuzzy model control design strategy is introduced and this main controller is embedded within an internal model control structure. Then, the overall proposed control structure is implemented in a pH neutralization experimental setup. The inverse fuzzy control signal generation is handled as an optimization problem and solved at each sampling time in an online manner. Although, inverse fuzzy model controllers may produce perfect control in perfect model match case and/or non-existence of disturbances, this open loop control would not be sufficient in the case of modeling mismatches or disturbances. Therefore, an internal model control structure is proposed to compensate these errors in order to overcome this deficiency where the basic controller is an inverse type-2 fuzzy model. This feature improves the closed-loop performance to disturbance rejection as shown through the real-time control of the pH neutralization process. Experimental results demonstrate the superiority of the inverse type-2 fuzzy model controller structure compared to the inverse type-1 fuzzy model controller and conventional control structures.

Original languageEnglish
Pages (from-to)277-287
Number of pages11
JournalISA Transactions
Volume51
Issue number2
DOIs
Publication statusPublished - Mar 2012

Keywords

  • Big Bang-Big Crunch optimization algorithm
  • Internal model control
  • Inverse fuzzy model
  • Type-2 fuzzy models
  • pH neutralization process

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