• DocumentCode
    3350414
  • Title

    Analysis of Linearity and Time-Varying Characteristic of Adaptive Detecting Distorted Current System Based on LMS Algorithm

  • Author

    Liu, Chuanlin ; Liu, Kaipei

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The conventional detecting methods for distorted currents have various limitations and we have introduced adaptive detecting system in power distribution. This paper proved that the detecting system based on least mean square (LMS) algorithm is linear and time-varying adaptive system. Based on the adaptive noise canceling technology in the signal processing, this paper presented an improved LMS algorithm for distorted current detection, which can overtake the drawback of normal LMS algorithm effectively. Moreover, the presented algorithm is easy to implement and solve the contravention between the steady-state accuracy and transient response speed. Simulation results showed that detecting capabilities of the improved LMS algorithm is superior to those of the normal, the proposed approach gives better transient performance and better accuracy than the normal method.
  • Keywords
    distortion; least mean squares methods; power distribution faults; power supply quality; signal denoising; LMS algorithm; adaptive detecting system; adaptive noise canceling technology; distorted current system; least mean square algorithm; linear system; power distribution; signal processing; time-varying adaptive system; Adaptive signal processing; Adaptive systems; Algorithm design and analysis; Distortion; Least squares approximation; Linearity; Noise cancellation; Power distribution; 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.2009.4918158
  • Filename
    4918158