• DocumentCode
    1782999
  • Title

    Adaptive RISE control of a multi-link flexible manipulator based on integral manifold approach

  • Author

    Luo Jian ; Tan Wen ; Sun Fuchun

  • Author_Institution
    Sch. of Inf. & Electr. Eng., Hunan Univ. of Sci. & Technol., Xiangtan, China
  • fYear
    2014
  • fDate
    28-29 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we proposed the adaptive RISE control algorithm for flexible-link manipulator. Via Singular Perturbation theory and the concept of integral manifolds, we divided the coupled nonlinear flexible-link manipulator dynamic system into two time-scaled decoupling subsystems. For slow-varying subsystem, we proposed the gain-varying RISE control algorithm to achieve trajectory tracking in spite of structured and unstructured uncertainty. For fast-varying subsystem, the method of sliding mode control can be well applied to suppress the vibration. A single-link flexible manipulator is employed as a simulation example to show the performance and effectiveness of the proposed adaptive algorithm.
  • Keywords
    adaptive control; flexible manipulators; manipulator dynamics; perturbation techniques; perturbation theory; singularly perturbed systems; trajectory control; variable structure systems; vibration control; adaptive RISE control; adaptive algorithm; coupled nonlinear flexible-link manipulator dynamic system; fast-varying subsystem; gain-varying RISE control algorithm; integral manifold approach; multilink flexible manipulator; single-link flexible manipulator; singular perturbation theory; sliding mode control method; slow-varying subsystem; time-scaled decoupling subsystems; trajectory tracking; vibration suppression; Adaptive control; Equations; Manifolds; Manipulator dynamics; Trajectory; Vibrations; RISE; adaptive control; flexible-link manipulator; integral manifolds; singular perturbation model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6731-5
  • Type

    conf

  • DOI
    10.1109/MFI.2014.6997637
  • Filename
    6997637