Adaptive Integral Sliding Mode Control in the Presence of State-Dependent Uncertainty

Peng Li, Di Liu, Simone Baldi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
3 Downloads (Pure)

Abstract

Adaptive integral sliding mode control (AISMC) is an extension of adaptive sliding mode control which is a way to ensure sliding motion while handling system uncertainties. However, conventional AISMC formulations require to different extent a priori knowledge of the system uncertainty: either the upper bound of the uncertainty or of its time derivative are assumed to be bounded a priori, or the uncertainty is assumed to be parametrized by some structure-dependent factorization. This work proposes a variant of AISMC with reduced a priori knowledge of the system uncertainty: it is shown that Euler-Lagrange dynamics typical of sliding mode literature admit a structure-independent parametrization of the system uncertainty. This parametrization is not the result of structural knowledge, but it comes from basic properties of Euler-Lagrange dynamics, valid independently on the structure of the system. The AISMC control method arising from this parametrization is analyzed in the Lyapunov stability framework, and validated in systems with different structures: a surface vessel and an aerial vehicle.

Original languageEnglish
Pages (from-to)3885-3895
JournalIEEE/ASME Transactions on Mechatronics
Volume27
Issue number5
DOIs
Publication statusPublished - 2022

Bibliographical note

Accepted Author Manuscript

Keywords

  • Adaptive integral sliding mode
  • aerial vehicle
  • Euler-Lagrange dynamics
  • IEEE transactions
  • Mechatronics
  • Sliding mode control
  • Standards
  • state-dependent uncertainty
  • Surface treatment
  • Uncertainty
  • Upper bound

Fingerprint

Dive into the research topics of 'Adaptive Integral Sliding Mode Control in the Presence of State-Dependent Uncertainty'. Together they form a unique fingerprint.

Cite this