Abstract In this paper, a novel Multivariable Adaptive Super-Twisting Algorithm is proposed. The adaptation scheme is based on a dual-layer structure and does not require the knowledge of upper bounds… Click to show full abstract
Abstract In this paper, a novel Multivariable Adaptive Super-Twisting Algorithm is proposed. The adaptation scheme is based on a dual-layer structure and does not require the knowledge of upper bounds for the matched disturbances. By exploiting information extracted from the equivalent control, it is possible to adapt both gains to enforce a second-order sliding mode while avoiding a conservative overestimation of the disturbance, which is important to mitigate the undesirable effects of chattering.
Keywords:
multivariable adaptive;
twisting algorithm;
dual layer;
super twisting
Journal Title: IFAC-PapersOnLine
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: IFAC-PapersOnLine
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!