• DocumentCode
    2809698
  • Title

    Study on adaptive PID control of high-voltage power supply for ECRH based on Single Neuron

  • Author

    Pengying, Du ; Xiaoping, Luo

  • Author_Institution
    Key Lab. of Intell. Syst., Zhejiang Univ. City Coll., Hangzhou, China
  • Volume
    8
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    The high negative voltage power supply for the ECRH(Electron Cyclotron Resonance Heating) is a key component of the cyclotron. Aiming at the nonlinear characteristics, and the high requirements on static and dynamic performance of the system, Single Neuron Adaptive PID (SNAPID)control method with self-learning is proposed. The results show that the system have good dynamic and static performance with strong robustness and adaptive capacity. This control method is not only a new control strategy for high-performance negative high-voltage power supply, but also lays the foundation for the intelligent digital control of this system.
  • Keywords
    adaptive control; cyclotron resonance; high-voltage techniques; neurocontrollers; plasma radiofrequency heating; robust control; three-term control; ECRH; adaptive PID control; cyclotron; dynamic performance; electron cyclotron resonance heating; high-voltage power supply; intelligent digital control; nonlinear characteristics; robustness; self-learning; single neuron; static performance; Heating; Adaptive PID Control; ECRH; High Negative Voltage Power Supply; Single Neuron;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619053
  • Filename
    5619053