• DocumentCode
    1572885
  • Title

    Neuron controller with self-tuning gain for pH processes

  • Author

    Wang, Ning ; Yang, Guang

  • Author_Institution
    Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
  • Volume
    4
  • fYear
    2004
  • Firstpage
    3373
  • Abstract
    The neuron control method with self-tuning gain is proposed for a pH neutralization process in this paper. In this control system, the fuzzy T-S model is used to predict the control signal. The neuron controller gain is calculated and tuned according to the parameter estimation and experience formulas. The simulation results show that the proposed control method can control the pH process with grave nonlinearity.
  • Keywords
    fuzzy control; neurocontrollers; pH; pH control; parameter estimation; self-adjusting systems; fuzzy T-S model; neuron controller; pH neutralization process; parameter estimation; self-tuning gain; Control system synthesis; Fuzzy control; Fuzzy systems; Industrial control; Laboratories; Neurons; Parameter estimation; Predictive models; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1343167
  • Filename
    1343167
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1572885