• DocumentCode
    2317976
  • Title

    Self-Tuning of the PID Controller for a Digital Excitation Control System

  • Author

    Kim, Kiyong ; Rao, Pranesh ; Burnworth, Jeff

  • Author_Institution
    Basler Electr. Co., Highland, IL, USA
  • fYear
    2009
  • fDate
    4-8 Oct. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper proposes an indirect method for self-tuning of the PID controller gains. Some of the modern voltage regulator systems are utilizing the Proportional, Integral, and Derivative (PID) control for stabilization. Based on given excitation system parameters, several PID tuning approaches are reported. Since in general, these parameters are not available during commissioning, specifically the machine time constants, this lack of information causes a considerable time delay and cost of fuel usage for commissioning the automatic voltage regulator (AVR). To reduce the commissioning time and cost, the excitation system parameters are automatically identified and the PID gains are calculated using well-developed algorithms. Recursive Least Square (RLS) with linearization via feedback is proposed to identify the system parameters. The performance of the proposed method is evaluated with several generator sets. With self-tuned PID gains, commissioning is accomplished very quickly with excellent performance results.
  • Keywords
    iterative methods; least squares approximations; three-term control; voltage control; voltage regulators; PID controller gain; automatic voltage regulator; digital excitation control system; machine time constant; proportional integral derivative control; recursive least square method; self tuning PID controller; voltage regulator system; Control systems; Costs; Digital control; PD control; Pi control; Proportional control; Regulators; Three-term control; Tuning; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting, 2009. IAS 2009. IEEE
  • Conference_Location
    Houston, TX
  • ISSN
    0197-2618
  • Print_ISBN
    978-1-4244-3475-6
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/IAS.2009.5324819
  • Filename
    5324819