• DocumentCode
    134516
  • Title

    Model reference adaptive control (MRAC) without integral for glycerin bleaching process

  • Author

    Jalil, M.H.A. ; Taib, M.N. ; Rahiman, M.H.F. ; Nordin, N.N. ; Kasuan, N.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2014
  • fDate
    7-9 March 2014
  • Firstpage
    111
  • Lastpage
    116
  • Abstract
    This paper presents the design of a model reference adaptive control (MRAC) for regulating temperature for glycerin bleaching process. Two well known MRAC designs which are MIT and Lyapunov approach are considered. The model of the system is developed based on Auto-Regressive with Exogenous Input (ARX) model. To prevent MRAC from windup problem and to provide robust performance simple modification has been proposed which by removing the pure integral from the original adaptation laws of MRAC. The simulation results shown that the proposed approach was significantly improved the performance MRAC and provide robust performance in regulating temperature for glycerin bleaching process. The result also shows that there is no significant difference performance between modified MIT MRAC and modified Lyapunov MRAC.
  • Keywords
    Lyapunov methods; autoregressive processes; bleaching (materials processing); control system synthesis; model reference adaptive control systems; temperature control; ARX model; Lyapunov approach; MIT MRAC; MRAC adaptation laws; MRAC designs; autoregressive with exogenous input model; glycerin bleaching process; model reference adaptive control; modified Lyapunov MRAC; robust performance; temperature regulation; Adaptation models; Bleaching; Data models; Inductors; Process control; Robustness; Signal processing; Auto-Regressive with Exogenous Input (ARX); Glycerin Bleaching Process; Model Reference Adaptive Control (MRAC); Pure Integral;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing & its Applications (CSPA), 2014 IEEE 10th International Colloquium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-3090-6
  • Type

    conf

  • DOI
    10.1109/CSPA.2014.6805731
  • Filename
    6805731