Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties

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WAN, Zhenshuai ;FU, Yu ;YUE, Longwang ;LIU, Chong .
Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 68, n.12, p. 771-780, december 2022. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/adaptive-super-twisting-sliding-mode-control-of-hydraulic-servo-actuator-with-nonlinear-features-and-modeling-uncertainties/>. Date accessed: 08 oct. 2024. 
doi:http://dx.doi.org/10.5545/sv-jme.2022.284.
Wan, Z., Fu, Y., Yue, L., & Liu, C.
(2022).
Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties.
Strojniški vestnik - Journal of Mechanical Engineering, 68(12), 771-780.
doi:http://dx.doi.org/10.5545/sv-jme.2022.284
@article{sv-jmesv-jme.2022.284,
	author = {Zhenshuai  Wan and Yu  Fu and Longwang  Yue and Chong  Liu},
	title = {Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {68},
	number = {12},
	year = {2022},
	keywords = {hydraulic servo actuator; nonlinear features; modeling uncertainties; super-twisting sliding mode control; },
	abstract = {This study proposes a novel adaptive super-twisting sliding mode controller (ASTSMC) for hydraulic servo actuator with nonlinear features and modeling uncertainties. In the proposed method, an extended state observer (ESO) is utilized to estimate the value of lumped uncertainties. The core feature of this paper is the combination of ASTSMC with ESO to compensate disturbance in hydraulic servo actuator. Moreover, the proposed ASTSMC does not need to obtain the bound of uncertainties in advance and ensures the sliding variable and its derivative reach to zero in a finite time. In addition, the stability of the closed-loop is proved by Lyapunov theory. Simulation and experiment results demonstrate the proposed ASTSMC can effectively mitigate the lumped uncertainties and obviously improve the tracking performance.},
	issn = {0039-2480},	pages = {771-780},	doi = {10.5545/sv-jme.2022.284},
	url = {https://www.sv-jme.eu/sl/article/adaptive-super-twisting-sliding-mode-control-of-hydraulic-servo-actuator-with-nonlinear-features-and-modeling-uncertainties/}
}
Wan, Z.,Fu, Y.,Yue, L.,Liu, C.
2022 December 68. Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 68:12
%A Wan, Zhenshuai 
%A Fu, Yu 
%A Yue, Longwang 
%A Liu, Chong 
%D 2022
%T Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties
%B 2022
%9 hydraulic servo actuator; nonlinear features; modeling uncertainties; super-twisting sliding mode control; 
%! Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties
%K hydraulic servo actuator; nonlinear features; modeling uncertainties; super-twisting sliding mode control; 
%X This study proposes a novel adaptive super-twisting sliding mode controller (ASTSMC) for hydraulic servo actuator with nonlinear features and modeling uncertainties. In the proposed method, an extended state observer (ESO) is utilized to estimate the value of lumped uncertainties. The core feature of this paper is the combination of ASTSMC with ESO to compensate disturbance in hydraulic servo actuator. Moreover, the proposed ASTSMC does not need to obtain the bound of uncertainties in advance and ensures the sliding variable and its derivative reach to zero in a finite time. In addition, the stability of the closed-loop is proved by Lyapunov theory. Simulation and experiment results demonstrate the proposed ASTSMC can effectively mitigate the lumped uncertainties and obviously improve the tracking performance.
%U https://www.sv-jme.eu/sl/article/adaptive-super-twisting-sliding-mode-control-of-hydraulic-servo-actuator-with-nonlinear-features-and-modeling-uncertainties/
%0 Journal Article
%R 10.5545/sv-jme.2022.284
%& 771
%P 10
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 68
%N 12
%@ 0039-2480
%8 2022-12-15
%7 2022-12-15
Wan, Zhenshuai, Yu  Fu, Longwang  Yue, & Chong  Liu.
"Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties." Strojniški vestnik - Journal of Mechanical Engineering [Online], 68.12 (2022): 771-780. Web.  08 Oct. 2024
TY  - JOUR
AU  - Wan, Zhenshuai 
AU  - Fu, Yu 
AU  - Yue, Longwang 
AU  - Liu, Chong 
PY  - 2022
TI  - Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2022.284
KW  - hydraulic servo actuator; nonlinear features; modeling uncertainties; super-twisting sliding mode control; 
N2  - This study proposes a novel adaptive super-twisting sliding mode controller (ASTSMC) for hydraulic servo actuator with nonlinear features and modeling uncertainties. In the proposed method, an extended state observer (ESO) is utilized to estimate the value of lumped uncertainties. The core feature of this paper is the combination of ASTSMC with ESO to compensate disturbance in hydraulic servo actuator. Moreover, the proposed ASTSMC does not need to obtain the bound of uncertainties in advance and ensures the sliding variable and its derivative reach to zero in a finite time. In addition, the stability of the closed-loop is proved by Lyapunov theory. Simulation and experiment results demonstrate the proposed ASTSMC can effectively mitigate the lumped uncertainties and obviously improve the tracking performance.
UR  - https://www.sv-jme.eu/sl/article/adaptive-super-twisting-sliding-mode-control-of-hydraulic-servo-actuator-with-nonlinear-features-and-modeling-uncertainties/
@article{{sv-jme}{sv-jme.2022.284},
	author = {Wan, Z., Fu, Y., Yue, L., Liu, C.},
	title = {Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {68},
	number = {12},
	year = {2022},
	doi = {10.5545/sv-jme.2022.284},
	url = {https://www.sv-jme.eu/sl/article/adaptive-super-twisting-sliding-mode-control-of-hydraulic-servo-actuator-with-nonlinear-features-and-modeling-uncertainties/}
}
TY  - JOUR
AU  - Wan, Zhenshuai 
AU  - Fu, Yu 
AU  - Yue, Longwang 
AU  - Liu, Chong 
PY  - 2022/12/15
TI  - Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 68, No 12 (2022): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2022.284
KW  - hydraulic servo actuator, nonlinear features, modeling uncertainties, super-twisting sliding mode control, 
N2  - This study proposes a novel adaptive super-twisting sliding mode controller (ASTSMC) for hydraulic servo actuator with nonlinear features and modeling uncertainties. In the proposed method, an extended state observer (ESO) is utilized to estimate the value of lumped uncertainties. The core feature of this paper is the combination of ASTSMC with ESO to compensate disturbance in hydraulic servo actuator. Moreover, the proposed ASTSMC does not need to obtain the bound of uncertainties in advance and ensures the sliding variable and its derivative reach to zero in a finite time. In addition, the stability of the closed-loop is proved by Lyapunov theory. Simulation and experiment results demonstrate the proposed ASTSMC can effectively mitigate the lumped uncertainties and obviously improve the tracking performance.
UR  - https://www.sv-jme.eu/sl/article/adaptive-super-twisting-sliding-mode-control-of-hydraulic-servo-actuator-with-nonlinear-features-and-modeling-uncertainties/
Wan, Zhenshuai, Fu, Yu, Yue, Longwang, AND Liu, Chong.
"Adaptive Super-twisting Sliding Mode Control of Hydraulic Servo Actuator with nonlinear features and modeling uncertainties" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 68 Number 12 (15 December 2022)

Avtorji

Inštitucije

  • Henan University of Technology, School of Mechanical and Electrical Engineering, China 1

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 68(2022)12, 771-780
© The Authors 2022. CC BY-NC 4.0 Int.

https://doi.org/10.5545/sv-jme.2022.284

This study proposes a novel adaptive super-twisting sliding mode controller (ASTSMC) for hydraulic servo actuator with nonlinear features and modeling uncertainties. In the proposed method, an extended state observer (ESO) is utilized to estimate the value of lumped uncertainties. The core feature of this paper is the combination of ASTSMC with ESO to compensate disturbance in hydraulic servo actuator. Moreover, the proposed ASTSMC does not need to obtain the bound of uncertainties in advance and ensures the sliding variable and its derivative reach to zero in a finite time. In addition, the stability of the closed-loop is proved by Lyapunov theory. Simulation and experiment results demonstrate the proposed ASTSMC can effectively mitigate the lumped uncertainties and obviously improve the tracking performance.

hydraulic servo actuator; nonlinear features; modeling uncertainties; super-twisting sliding mode control;