• DocumentCode
    2423535
  • Title

    Adaptive control of protective-relay-testing inverter

  • Author

    Sun, Xiaoming ; Long, Hualing ; Liu, Dichen ; Zhou, Chaoqun

  • Author_Institution
    Electr. Eng. Sch., Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    17-20 May 2009
  • Firstpage
    1593
  • Lastpage
    1599
  • Abstract
    An inverter designed for protective relay testing (PRT) purpose is modeled and analyzed in frequency domain, which is named as PRT inverter. By introducing the concepts of ldquobiased on-timerdquo and ldquotime-voltage transfer coefficientrdquo, a modified model is proposed, which realizes the linear transition from duty cycle to output voltage and breaks the frequency limitation of the linearized models. Quasi-PID controller that is able to eliminate the inherent tracking error of the PI controller was assigned to control the modified model. To deal with the impacts of parameters drifting on the controller, a single neuron adaptive quasi-PID controller based on perceptron supervised Hebb learning rule (PSHLR) is put forward, which ameliorates the control performance excellently and makes the strategy fulfill the accuracy requirements of PRT, especially electrical fault waveform regeneration (EFWR).
  • Keywords
    adaptive control; invertors; machine control; machine testing; multilayer perceptrons; relay protection; three-term control; adaptive control; biased on-time coefficient; electrical fault waveform regeneration; frequency domain; perceptron supervised Hebb learning rule; protective-relay-testing inverter; quasiPID controller; time-voltage transfer coefficient; Adaptive control; Error correction; Frequency domain analysis; Inverters; Neurons; Programmable control; Protection; Protective relaying; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3556-2
  • Electronic_ISBN
    978-1-4244-3557-9
  • Type

    conf

  • DOI
    10.1109/IPEMC.2009.5157643
  • Filename
    5157643