• DocumentCode
    3187449
  • Title

    Research on Single Neuron PID Control Method for Time Delay Systems

  • Author

    Liu Wenbo ; Wang Mengxiao

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´an, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    112
  • Lastpage
    115
  • Abstract
    A single neuron PID control method based on Smith predictor is presented in this paper to overcome the short-comings that the control effect of conventional Smith predictor will be worse while the parameters of time delay systems change. This method combines the single neuron PID with Smith predictor. By the self adapting and self organizing of single neuron, it can be adapted to the parameters changing of the controlled plant. And the simulation study had been done for a first order time delay system. The results show that this method offer good static and dynamic characteristics as well as its disturbance-rejection and robustness are better.
  • Keywords
    adaptive systems; delays; neurocontrollers; predictive control; three-term control; Smith predictor; self adapting system; self organizing; single neuron PID control method; time delay systems; Artificial neural networks; Automatic control; Biological system modeling; Control systems; Delay effects; Neurons; Predictive control; Predictive models; Three-term control; Transfer functions; Single neuron PID; Smith predictor; Time delay systems;
  • 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.2010.630
  • Filename
    5522447