• DocumentCode
    523986
  • Title

    Intelligent Control Algorithm Based on T-S Fuzzy Neural Network PID and its Applications

  • Author

    Lina, Li ; Xinjie, Wu ; Yang, Yang

  • Author_Institution
    Coll. of Phys., LiaoNing Univ., Shenyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    553
  • Lastpage
    557
  • Abstract
    With the combination of T-S fuzzy model and conventional PID controller, as well as by means of the self-learning and self-organizing ability of neural network, an intelligent control algorithm based on T-S fuzzy neural network PID control is presented in this paper. With this control algorithm, an pressure controller for solenoid valve test was designed and the corresponding simulation was carried out to show its highly dynamic and stable traits, strong self-adaptive ability and anti-interference ability of this controller, the simulation results also revealed that the T-S fuzzy neural network PID controller is much better than conventional PID controller and simple fuzzy controller.
  • Keywords
    fuzzy control; fuzzy neural nets; neurocontrollers; pressure control; solenoids; three-term control; valves; TS fuzzy neural network PID controller; antiinterference ability; intelligent control; pressure controller; self-adaptive ability; self-learning; self-organizing ability; solenoid valve; Algorithm design and analysis; Automatic testing; Fuzzy control; Fuzzy neural networks; Intelligent control; Neural networks; Pressure control; Solenoids; Three-term control; Valves; PID control; T-S model; fuzzy control; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.641
  • Filename
    5523538