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/article/adaptive-super-twisting-sliding-mode-control-of-hydraulic-servo-actuator-with-nonlinear-features-and-modeling-uncertainties/>. Date accessed: 20 dec. 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/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/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. 20 Dec. 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/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/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/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)
Strojniški vestnik - Journal of Mechanical Engineering 68(2022)12, 771-780
© The Authors 2022. CC BY-NC 4.0 Int.
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.