• DocumentCode
    2995858
  • Title

    Fractional order control of pH neutralization process based on fuzzy inverse model

  • Author

    Azarmi, Roohallah ; Tavakoli-Kakhki, Mahsan ; MonirVaghefi, Hossein ; Shaghaghi, Davood ; Fatehi, Alireza

  • Author_Institution
    Adv. Process Autom. & Control (APAC) Res. Group, K. N. Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2015
  • fDate
    10-14 May 2015
  • Firstpage
    817
  • Lastpage
    822
  • Abstract
    pH neutralization process is a nonlinear process with time varying characteristics. Usually, the model based control of this process is a difficult task. Regarding to the appropriate modelling of the pH process by a Wiener model, in this paper an inverse model based control scheme is presented in which a fractional order controller is used as a linear controller. To apply this control scheme, firstly the inverse model of the nonlinear static part of the pH process is modelled benefiting from a fuzzy modelling method. Then by using the inverse model of the nonlinear static part, an augmented system is obtained whose behavior is similar to a linear system. Therefore, simple controllers such as PID type controllers can be used to control the augmented plant. In this paper, a fractional order PID (FOPID) controller is applied to the augmented system as a linear controller. The simulations presented in this paper show the efficiency of this type of controller in comparison with the classical PID controller in a similar structure.
  • Keywords
    fuzzy control; linear systems; nonlinear control systems; pH control; stochastic processes; three-term control; time-varying systems; FOPID controller; PID type controller; Wiener model; augmented plant; augmented system; classical PID controller; fractional order PID controller; fractional order controller; fuzzy inverse model; fuzzy modelling method; inverse model based control scheme; linear controller; linear system; nonlinear process; nonlinear static part; pH neutralization process; pH process; time varying characteristics; Conferences; Electrical engineering; Fractional Order PID Controller; Fuzzy Inverse Model; Wiener Model; pH Process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-1971-0
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2015.7146325
  • Filename
    7146325