• DocumentCode
    2029696
  • Title

    Parameters identification of a low pressure discharge lamp based on PSO

  • Author

    Tlili, Messai ; Abdeljelil, Chammam ; Anis, Sellami

  • Author_Institution
    Higher Sch. of Sci. & Technol. of Tunis, ESSTT, Tunis, Tunisia
  • fYear
    2012
  • fDate
    25-28 March 2012
  • Firstpage
    971
  • Lastpage
    974
  • Abstract
    This paper presents an intelligent model parameter identification method using particle swarm optimization. This new technique of parameter identification is applied to a nonlinear system which is the conductivity of a low pressure discharge lamp. Some experimental and simulation results are given to validate the efficiency of the proposed method.
  • Keywords
    discharge lamps; nonlinear estimation; nonlinear systems; parameter estimation; particle swarm optimisation; PSO; intelligent model parameter identification method; low pressure discharge lamp; nonlinear system; particle swarm optimization; Conductivity; Discharges (electric); Mathematical model; Optimization; Particle swarm optimization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
  • Conference_Location
    Yasmine Hammamet
  • ISSN
    2158-8473
  • Print_ISBN
    978-1-4673-0782-6
  • Type

    conf

  • DOI
    10.1109/MELCON.2012.6196589
  • Filename
    6196589
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2029696