1,189
Views
44
CrossRef citations to date
0
Altmetric
Original Articles

Adaptive second-order sliding mode control with uncertainty compensation

, , &
Pages 1747-1758 | Received 13 May 2015, Accepted 12 Jan 2016, Published online: 11 Mar 2016
 

ABSTRACT

This paper endows the second-order sliding mode control (2-SMC) approach with additional capabilities of learning and control adaptation. We present a 2-SMC scheme that estimates and compensates for the uncertainties affecting the system dynamics. It also adjusts the discontinuous control effort online, so that it can be reduced to arbitrarily small values. The proposed scheme is particularly useful when the available information regarding the uncertainties is conservative, and the classical `fixed-gain’ SMC would inevitably lead to largely oversized discontinuous control effort. Benefits from the viewpoint of chattering reduction are obtained, as confirmed by computer simulations.

Acknowledgments

A. Pisano and E. Usai acknowledge the financial support from the Region of Sardinia under project ‘Modeling, control and experimentation of innovative systems for thermal energy storage’, grant number CRP-60913.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

Region of Sardinia [grant number CRP-60913].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,709.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.