• DocumentCode
    3275707
  • Title

    Control oriented modeling and system identification of a diesel generator set (genset)

  • Author

    Kai Loon Cheong ; Li, P.Y. ; Jicheng Xia

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    950
  • Lastpage
    955
  • Abstract
    A diesel generator set (genset) refers to a diesel engine powered electrical alternator. Controls are needed to regulate the electrical output at the nominal voltage (120V RMS) and frequency (60Hz) despite variation in the electrical loads. In this paper, a system model for the genset is developed. A grey-box system model that considers known physical dependence and empirical identification of unknown effects is proposed. The system model structure is validated and the unknown parameters and effects are identified experimentally. Specifically, the standard proportional relationship between alternator speed and voltage is found to be valid with an experimentally determined dependence on the field current; the engine speed governor is found to be a first order controller; the effect of the back torque from the alternator on the speed dynamics is found to be consistent with the alternator and governor model. The system identification procedure is designed so that it can be easily applied to various units on the field autonomously or by a service personnel - for example for tuning controllers.
  • Keywords
    alternators; diesel engines; alternator speed; control oriented modeling; diesel engine powered electrical alternator; diesel generator set; engine speed governor; first order controller; genset; grey-box system model; speed dynamics; system identification procedure; system model structure; Alternators; Diesel engines; Frequency; Personnel; Power generation; Power system modeling; Proportional control; System identification; Torque control; Voltage control; Genset; control oriented modeling; grey box model; least squares; system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5530454
  • Filename
    5530454