• DocumentCode
    1711831
  • Title

    A gradient based recursive identification of mechanical systems with backlash-like hysteresis

  • Author

    Dong, Ruili ; Tan, Yonghong

  • Author_Institution
    Coll. of Mech. & Electron. Eng., Shanghai Normal Univ., Shanghai, China
  • fYear
    2009
  • Firstpage
    1374
  • Lastpage
    1377
  • Abstract
    It is known that backlash-like hysteresis is one of the non-smooth nonlinearities usually existing in mechanical systems. Due to the characteristic of non-smoothness, it is quite difficult to apply the traditional identification method to the modeling of dynamic systems with backlash-like hysteresis in mechanical systems. In this paper, a gradient based recursive identification algorithm for dynamic systems with backlash-like hysteresis is presented. In this method, based on the concept of Clarke sub-gradient, a so-called bundle method is used to obtain the optimizing search direction at the non-smooth points. Then, the gradient based algorithm is developed for parameter estimation. Finally, an example of applying the proposed method for modeling a simulated mechanical transmission system is presented.
  • Keywords
    control nonlinearities; gradient methods; identification; machine control; nonlinear control systems; nonlinear dynamical systems; power transmission (mechanical); recursive estimation; search problems; servomotors; Clarke subgradient concept; backlash-like hysteresis; bundle method; dynamic system modeling; gradient-based recursive identification algorithm; mechanical system; nonsmooth control nonlinearity; nonsmooth point; parameter estimation; search direction optimization; servo motor; simulated mechanical transmission system; Control systems; Displacement control; Fasteners; Gears; Hysteresis; Mechanical systems; Nonlinear dynamical systems; Optimization methods; Servomotors; Teeth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5281178
  • Filename
    5281178