Indirect adaptive nonlinear control of a pH process

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

    Research output: Contribution to journalArticlepeer-review

    27 Citations (Scopus)

    Abstract

    This paper presents an indirect adaptive control scheme for a pH process, which is difficult to control due to its nonlinear dynamics with uncertainties. A nonlinear controller is designed using a backstepping technique, which can deal with a large class of nonlinear systems with parametric uncertainties. The nonlinear controller is combined with a parameter estimator to estimate the concentrations of the reaction invariants in the wastewater stream, and the stability of the proposed adaptive scheme is proved. Simulations show that uniform closed-loop performance is obtained despite the nonlinearitics and parametric uncertainties.

    Original languageEnglish
    Pages (from-to)1223-1230
    Number of pages8
    JournalComputers and Chemical Engineering
    Volume26
    Issue number9
    DOIs
    Publication statusPublished - 2002 Sept 15

    Bibliographical note

    Funding Information:
    The authors are grateful to financial support by the Korea Science and Engineering Foundation (KOSEF), Korea.

    Keywords

    • Adaptive control
    • Internal dynamics
    • Nonlinear control
    • Parameter estimation
    • pH control

    ASJC Scopus subject areas

    • General Chemical Engineering
    • Computer Science Applications

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