• DocumentCode
    3350642
  • Title

    Analyze Linearity and Time-Varying Characteristic of Continuous Detecting Distorted Current System Based on LMS Algorithm

  • Author

    Liu, Kaipei ; Liu, Chuanlin

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The discrete adaptive system have been used in detecting distorted currunt widely. This paper presented an analogy continuous system based on least mean square (LMS) algorithm, and proved that the analogy system has characteristics of linearity and time-varying system. Based on the adaptive noise canceling technology in the signal processing, this paper presented an improved algorithm of LMS for distorted current detection, which can overtake effectively the drawback of normal LMS algorithm. Moreover, the algorithm presented is easy to implement and solve the contravention between the detecting precision and speediness. The simulation results showed that the algorithm´s capability is superior to those of the normal LMS, the proposed approach gives faster dynamic performance and better precision than the normal method.
  • Keywords
    continuous systems; distortion; electric current control; interference suppression; least mean squares methods; linear systems; power supply quality; signal processing; time-varying systems; LMS algorithm; adaptive noise canceling technology; continuous detecting distorted current system; discrete adaptive system; least mean square; linearity characteristic; signal processing; time-varying system; Adaptive signal processing; Adaptive systems; Algorithm design and analysis; Continuous time systems; Distortion; Least squares approximation; Linearity; Noise cancellation; Signal processing algorithms; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918173
  • Filename
    4918173