• DocumentCode
    2756003
  • Title

    Internal Model Control for Inverse System Based on Support Vector Machine and Its Application

  • Author

    Liu, Sheng ; Li, Yanyan ; Du, Yanchun

  • Author_Institution
    Autom. Coll., Harbin Eng. Univ.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    6336
  • Lastpage
    6339
  • Abstract
    Because of the large inertia and lag characteristics of the super-heated steam temperature system, an internal model control method for inverse system based on support vector machine (SVM) was presented. According to the input and output datum of the system, this method identified o th-order inverse system of the original system by using support vector machine regression (SVMR). Combining the inverse system with original system can form o th-order pseudo-linear system, then applied internal model control to the pseudo-linear system. Simulating results show that this method has high track precision, good disturbance-rejecting capability. And it is easy to design and apply
  • Keywords
    heat systems; inverse problems; linear systems; regression analysis; steam power stations; support vector machines; temperature control; disturbance-rejecting capability; internal model control; inverse system; pseudolinear system; super-heated steam temperature system; support vector machine regression; Automatic control; Automation; Control system synthesis; Educational institutions; Electronic mail; Intelligent control; Inverse problems; Support vector machines; Temperature control; internal model control (IMC); inverse system; super-heated steam temperature system; support vector machine (SVM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714303
  • Filename
    1714303