Indirect adaptive backstepping control of a pH neutralization process based on recursive prediction error method for combined state and parameter estimation

Tae Chul Lee, Dae Ryook Yang, Kwang Soon Lee, Tae Woong Yoon

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

A novel nonlinear adaptive technique has been proposed for control of a pH neutralization process. For this, a standard nonlinear dynamic pH neutralization model was parametrized assuming that some key parameters of the buffer and feed streams, which sensitively affect the titration curve, are unknown. On this model, an indirect adaptive backstepping controller is designed by combining a backstepping controller and the recursive prediction error method for real-time parameter and state estimation. Through simulation studies, it has been shown that the estimated parameters and state variables are in good agreement with the actual values and that the proposed adaptive controller has excellent tracking and regulation performance.

Original languageEnglish
Pages (from-to)4102-4110
Number of pages9
JournalIndustrial and Engineering Chemistry Research
Volume40
Issue number19
Publication statusPublished - 2001 Sep 19

Fingerprint

Backstepping
State estimation
neutralization
Parameter estimation
Controllers
prediction
Titration
Buffers
simulation
method
parameter estimation
parameter

ASJC Scopus subject areas

  • Polymers and Plastics
  • Environmental Science(all)
  • Chemical Engineering (miscellaneous)

Cite this

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AU - Yoon, Tae Woong

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