• DocumentCode
    3363869
  • Title

    Adaptive dual layer second-order sliding mode control and observation

  • Author

    Edwards, Christopher ; Shtessel, Yuri

  • Author_Institution
    Coll. of Eng., Math., & Phys. Sci., Univ. of Exeter, Exeter, UK
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    5853
  • Lastpage
    5858
  • Abstract
    This paper considers the problem of developing a 2-SM super-twisting-like structure with adaptive gains. The objective is to allow the gains to adapt (to both increase and decrease as appropriate) in such a way that they are as small as possible, and yet large enough to sustain a sliding motion. The concept of `equivalent control´ is used as a mechanism for assessing the extent to which the gains over-bound the uncertainty, and this information is used in the adaptation process. The resulting adaptation law has a dual-layer structure which is formally analyzed using Lyapunov techniques. In the paper, a new additional time varying gain is introduced into the traditional super-twisting structure, which has the effect of simplifying the stability analysis, whilst still ensuring the 2-SM properties of the traditional super-twisting scheme. Furthermore in the case when adaptation stops and the gains become constant, the traditional super-twisting structure is recovered.
  • Keywords
    Lyapunov methods; adaptive control; stability; time-varying systems; variable structure systems; 2-SM supertwisting-like structure; Lyapunov techniques; adaptation law; adaptive dual layer second-order sliding mode control; adaptive gains; equivalent control; stability analysis; time varying gain; Control systems; Lyapunov methods; Mathematical model; Safety; Stability analysis; Time-varying systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7172257
  • Filename
    7172257