• DocumentCode
    176736
  • Title

    Self-adaptive Fuzzy PID control algorithm used in liquid mixing device

  • Author

    Ma Fengying ; Li Huanling

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Qilu Univ. of Technol., Jinan, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    3840
  • Lastpage
    3844
  • Abstract
    According to the characteristics of the industrial production control system with multiparameters, nonlinear, larger time delay, an on-line parameter Adaptive fuzzy logical Fuzzy-PID controller was put forward. This paper introduces the basic idea of PID and Fuzzy-PID control, the application of the fuzzy-PID controller. The industrial process of liquid mixing is characterized by high nonlinearity, large time delay and multi-parameters. An on-line controller based on adaptive fuzzy logical fuzzy-PID was therefore designed. Then, the two simulation curves of conventional PID algorithm and fuzzy-PID algorithm were compared with each other, and the results showed that the fuzzy-PID control algorithm has a performance of shorter response time, smaller overshoot, better robustness and good stability. It is concluded that the designed fuzzy PID controller is reasonable to improve the control effect, implemented the online self-adaptive adjustment of the liquid mixing parameters.
  • Keywords
    control nonlinearities; control system synthesis; fuzzy control; liquid mixtures; mixing; process control; production control; self-adjusting systems; three-term control; industrial production control system; liquid mixing device; liquid mixing parameters; multiparameter; nonlinearity; online self-adaptive adjustment; online self-adaptive fuzzy PID control algorithm; time delay; Computational modeling; Delay effects; Fuzzy control; Liquids; Niobium; PD control; Fuzzy PID control; Matlab Simulation; liquid mixing; robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852849
  • Filename
    6852849