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

Dakai Liu, Sven Esche, Wenxing Fu, Mingang Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名2023 42nd Chinese Control Conference, CCC 2023
出版商IEEE Computer Society
2182-2188
页数7
ISBN(电子版)9789887581543
DOI
出版状态已出版 - 2023
活动42nd Chinese Control Conference, CCC 2023 - Tianjin, 中国
期限: 24 7月 202326 7月 2023

出版系列

姓名Chinese Control Conference, CCC
2023-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议42nd Chinese Control Conference, CCC 2023
国家/地区中国
Tianjin
时期24/07/2326/07/23

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