A Modified Adaptive Dual Layer Generalized Super-Twisting Controller and Disturbance Observer

Dakai Liu, Sven Esche, Wenxing Fu, Mingang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a modified generalized adaptive dual layer super-twisting algorithm is proposed. The conventional adaptive dual-layer super-twisting algorithm is limited to handling Lipschitz disturbances; therefore, the adaptation strategy for the two gains of the super-twisting algorithm is revised. Consequently, the robustness of the adaptive dual-layer control is augmented, allowing the adaptive structure to stabilize the system amidst Lipschitz and linearly growing disturbances. Simultaneously, the desirable attributes of the original adaptive dual-layer structure, such as the elimination of control gain overestimation and the lack of disturbance bounds requirements, are preserved. Through the implementation of the proposed method, the applicability of the adaptive dual-layer super-twisting control is substantially broadened. To demonstrate the effectiveness of the proposed method and its superiority over other extant adaptive super-twisting control algorithms, simulation tests are conducted.

Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
Pages2182-2188
Number of pages7
ISBN (Electronic)9789887581543
DOIs
StatePublished - 2023
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Keywords

  • Generalized super-twisting algorithm
  • adaptive control
  • adaptive dual layer
  • sliding mode control

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