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

Dakai Liu; Sven Esche; Wenxing Fu; Mingang Wang

doi:10.23919/CCC58697.2023.10240892

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

Dakai Liu, Sven Esche, Wenxing Fu, Mingang Wang

Department of Mechanical Engineering

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2023 42nd Chinese Control Conference, CCC 2023
Publisher	IEEE Computer Society
Pages	2182-2188
Number of pages	7
ISBN (Electronic)	9789887581543
DOIs	https://doi.org/10.23919/CCC58697.2023.10240892
State	Published - 2023
Event	42nd Chinese Control Conference, CCC 2023 - Tianjin, China Duration: Jul 24 2023 → Jul 26 2023

Publication series

Name	Chinese Control Conference, CCC
Volume	2023-July

Conference

Conference	42nd Chinese Control Conference, CCC 2023
Country/Territory	China
City	Tianjin
Period	7/24/23 → 7/26/23

ASJC Scopus subject areas

Computer Science Applications
Control and Systems Engineering
Applied Mathematics
Modeling and Simulation

Keywords

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

Access to Document

10.23919/CCC58697.2023.10240892

Cite this

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title = "A Modified Adaptive Dual Layer Generalized Super-Twisting Controller and Disturbance Observer",

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.",

keywords = "Generalized super-twisting algorithm, adaptive control, adaptive dual layer, sliding mode control",

author = "Dakai Liu and Sven Esche and Wenxing Fu and Mingang Wang",

note = "Publisher Copyright: {\textcopyright} 2023 Technical Committee on Control Theory, Chinese Association of Automation.; 42nd Chinese Control Conference, CCC 2023 ; Conference date: 24-07-2023 Through 26-07-2023",

year = "2023",

doi = "10.23919/CCC58697.2023.10240892",

language = "English",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "2182--2188",

booktitle = "2023 42nd Chinese Control Conference, CCC 2023",

}

Liu, D, Esche, S, Fu, W & Wang, M 2023, A Modified Adaptive Dual Layer Generalized Super-Twisting Controller and Disturbance Observer. in 2023 42nd Chinese Control Conference, CCC 2023. Chinese Control Conference, CCC, vol. 2023-July, IEEE Computer Society, pp. 2182-2188, 42nd Chinese Control Conference, CCC 2023, Tianjin, China, 7/24/23. https://doi.org/10.23919/CCC58697.2023.10240892

A Modified Adaptive Dual Layer Generalized Super-Twisting Controller and Disturbance Observer. / Liu, Dakai; Esche, Sven; Fu, Wenxing et al.
2023 42nd Chinese Control Conference, CCC 2023. IEEE Computer Society, 2023. p. 2182-2188 (Chinese Control Conference, CCC; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Modified Adaptive Dual Layer Generalized Super-Twisting Controller and Disturbance Observer

AU - Liu, Dakai

AU - Esche, Sven

AU - Fu, Wenxing

AU - Wang, Mingang

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Generalized super-twisting algorithm

KW - adaptive control

KW - adaptive dual layer

KW - sliding mode control

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M3 - Conference contribution

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BT - 2023 42nd Chinese Control Conference, CCC 2023

PB - IEEE Computer Society

T2 - 42nd Chinese Control Conference, CCC 2023

Y2 - 24 July 2023 through 26 July 2023

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

Abstract

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ASJC Scopus subject areas

Keywords

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