• DocumentCode
    3441821
  • Title

    Using LMS algorithm for controlling the active power of nonlinear loads

  • Author

    Panoiu, Manuela ; Panoiu, Caius ; Rob, Raluca ; Iordan, Anca

  • Author_Institution
    Electr. Eng. & Ind. Inf. Dept., Timisoara Polytech. Univ., Timisoara, Romania
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    1541
  • Lastpage
    1546
  • Abstract
    In this paper is proposed an adaptive control method of the active power of a nonlinear load. One of the most representative nonlinear loads is the Electric Arc Furnace (EAF). Based on the experimental results will be proposed an adaptive control system of the process. The algorithm used is known as the LMS algorithm (Least Mean Square) being, due to its simplicity, the most used algorithm implemented in controlling systems. It was used standard and variable step size LMS algorithm. The efficiency of the proposed algorithms is verified using simulations based on modeling the electric arc. For modeling the electric arc it was used a model having parameters like of a real electric arc. For simulation it was use the PSCAD-EMTDC program (Power Systems CAD - a program dedicated to power systems).
  • Keywords
    adaptive control; arc furnaces; least mean squares methods; power control; power supply quality; active power control; adaptive control method; electric arc furnace; electric arc modeling; least mean square algorithm; power system CAD; representative nonlinear loads; variable step size LMS algorithm; Adaptive control; Furnaces; Least squares approximation; PSCAD; Power measurement; Power quality; Power system modeling; Power system simulation; Reactive power; Voltage; LMS algorithm; Nonlinear systems; Power control; Power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4986-6
  • Electronic_ISBN
    978-1-4244-7919-1
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2010.5542065
  • Filename
    5542065