• DocumentCode
    2942119
  • Title

    PD-I(PD)-Type ILC for a Class of Nonlinear Systems

  • Author

    Liu, Bai-Shun ; Hao, Ying-Ze

  • Author_Institution
    Dept. of Battle & Command, Academe of Naval Submarine, Qingdao, China
  • Volume
    1
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    832
  • Lastpage
    835
  • Abstract
    In this paper, we presents a new class of iterative learning control law for a class of nonlinear systems, denoted PD-IPD, which is composed by adding a derivative term in the integrator of PID learning control law. By using Bellman-Gronwall lemma, the simple explicit conditions on the learning gains to ensure convergence are provided in the sense of Lambda norm. An attractive feature of PD-IPD learning law is that it is of faster convergence speed and higher accuracy. The simulation example demonstrates the advantage and effectiveness of PD-IPD learning law.
  • Keywords
    PD control; adaptive control; iterative methods; learning systems; manipulators; nonlinear systems; position control; three-term control; Bellman-Gronwall lemma; Lambda norm; PD-IPD-type ILC; PD-IPD learning law; PID learning control law; iterative learning control law; nonlinear systems; trajectory tracking; two-link robot manipulators; Automation; Control systems; Convergence; Marine technology; Mechatronics; Nonlinear control systems; Nonlinear systems; Three-term control; Trajectory; Underwater vehicles; Convergence analysis; Iterative learning control; Nonlinear system; Robot control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.433
  • Filename
    5203100