• DocumentCode
    2501262
  • Title

    Parameters identification of direct thrust control system using wavelet transform

  • Author

    Li, Changjiu ; Zhao, Lijun ; Chen, Yingfeng ; Cui, Jiefan

  • Author_Institution
    Electr. Eng. Dept., Chengde Pet. Coll., Chengde
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8842
  • Lastpage
    8846
  • Abstract
    Wavelet analysis is used in parameters identification in this paper, because of the time frequency location characteristic and multi-scale ability of wavelet transform and multi-resolution analysis. Then this paper compares the neural network with wavelet transform to identify the direct thrust control system parameters, and obtains the results are shown that the wavelet transform is further suitable for parameters identification. The simulation results of direct thrust control system show the identifier that is based on wavelet transform can precisely measure the value of parameters and efficiently improve the low-speed performances of direct thrust control system.
  • Keywords
    neurocontrollers; wavelet transforms; direct thrust control system; multiresolution analysis; neural network; parameters identification; time frequency location characteristic; wavelet transform; Automation; Control system synthesis; Control systems; Intelligent control; Iron; Neural networks; Parameter estimation; Petroleum; Wavelet analysis; Wavelet transforms; direct thrust control system; neural network; parameters identification; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594324
  • Filename
    4594324