• DocumentCode
    3307421
  • Title

    The research of variable parameter PI adjustment based on the fuzzy control technique

  • Author

    Pengfei Hang ; Lijun Sha ; Zhang Yan ; Shijun Wang ; Chunlei Zhang

  • Author_Institution
    Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    907
  • Lastpage
    911
  • Abstract
    A variable parameter PI adjustment system based on the fuzzy control technique was developed, which improved the performance of the dynamic response of inverter welding power supply effectively. DSPIC30F2020 was used as the core control chip, and a two-input two-output fuzzy controller was established. By taking the welding current deviation and its changing rate as input signals, and fuzzy processing them respectively, the PI control parameters were optimized, which make sure the precise controlling of the power output. With a resistive and a capacitive load, comparison tests between dynamic response of a variable parameter PI control system and a traditional PI control system were carried out. The results proved that: The rise time of a step response of current with variable parameter PI adjustment is less than 0.4ms; In short circuit transfer welding, variable parameter PI adjustment can inhibit the overshoot effectively when the load changes dramatically, which will be the basis of the inhibition of welding spatter.
  • Keywords
    PI control; fuzzy control; invertors; microcontrollers; welding; DSPIC30F2020; core control chip; current step response; inverter welding power supply; power output control; short circuit transfer welding; two input two output fuzzy controller; variable parameter PI adjustment; welding current deviation; welding spatter; Fuzzy control; Input variables; Inverters; Oscillators; Pi control; Power supplies; Welding; Fuzzy control; dynamic characteristics; variable parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019691
  • Filename
    6019691