• DocumentCode
    605811
  • Title

    Modified Model Reference Adaptive Controllers for improved regulatory performance

  • Author

    Mohideen, K.A. ; Mathi, K.V.

  • Author_Institution
    Dept. of Instrum. & Control Eng., Kalasalingam Univ., Krishnankoil, India
  • fYear
    2013
  • fDate
    25-26 March 2013
  • Firstpage
    194
  • Lastpage
    198
  • Abstract
    Level control is an important application in process industry. Traditionally PID controller has been used for this purpose. As level process is non-linear, whenever the process is operated outside a linearized region the PID controller parameters need to be tuned. In this case adaptive controllers are more suited. The objective of the paper is to apply a Modified Model Reference Adaptive Controller (MRAC) to control level in a hybrid tank system in regulatory mode and compare its disturbance rejection capability with that of a standard direct MRAC and a well-designed PID controller. In this paper, a direct MRAC, two types of modified MRACs and a PID controller are designed for a hybrid tank process and their performances are compared while operated in regulatory mode. The results show that the Modified MRACs give better disturbance rejection when compared with the MRAC and the PID controller. It is concluded that the Modified MRACs can be used to obtain very good regulatory performance during the control of nonlinear processes.
  • Keywords
    adaptive control; control system synthesis; level control; linearisation techniques; nonlinear control systems; process control; tanks (containers); PID controller design; direct MRAC design; disturbance rejection; disturbance rejection capability; hybrid tank system; linearized region; modified MRAC design; modified model reference adaptive controllers; nonlinear level process control; process industry; regulatory mode performance improvement; Adaptation models; Adaptive systems; Genetic algorithms; Mathematical model; Process control; Standards; Tuning; Disturbance rejection; Model Reference Adaptive Controller; Modified MRAC; Real-coded Genetic Algorithm; nonlinear process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
  • Conference_Location
    Tirunelveli
  • Print_ISBN
    978-1-4673-5037-2
  • Type

    conf

  • DOI
    10.1109/ICE-CCN.2013.6528491
  • Filename
    6528491