Adaptive output feedback nonlinear control of a pH process with an input constraint

T. S. Kang, T. W. Yoon, D. R. Yang, S. S. Yoon

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

In this paper an adaptive output feedback nonlinear control scheme is presented for a pH process, which is difficult to control due to the nonlinearities and uncertainties. A nonlinear controller is designed using a backstepping technique to handle the pH process with an input constraint. The backstepping-based controller is combined with state and parameter estimators to deal with unmeasurable state variables and unknown parameters, thereby resulting in an adaptive output feedback nonlinear controller. The input constraint mentioned above is considered in the controller and estimator designs. The stability properties of the proposed scheme are given, and simulation results show that uniform closed-loop performance is obtained despite the nonlinearity, the uncertainties of the parameters, and the unavailability of the state variables.

Original languageEnglish
Pages (from-to)4538-4543
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume5
Publication statusPublished - 2000
Externally publishedYes
Event39th IEEE Confernce on Decision and Control - Sydney, NSW, Australia
Duration: 2000 Dec 122000 Dec 15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Adaptive output feedback nonlinear control of a pH process with an input constraint'. Together they form a unique fingerprint.

Cite this