Adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation

Abstract This paper proposed an adaptive super‐twisting (AST)‐based fractional‐order sliding mode control algorithm under disturbances for redundantly actuated cable driving parallel robots. A novel fractional‐order non‐singular fast terminal sliding mode surface is constructed, and the fast respons...

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Autores principales: Chen Zhengsheng, Wang Xuesong, Cheng Yuhu
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Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/3545f4a6be944994a3aeac9bce19fda0
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spelling oai:doaj.org-article:3545f4a6be944994a3aeac9bce19fda02021-11-18T06:47:31ZAdaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation1751-86521751-864410.1049/cth2.12189https://doaj.org/article/3545f4a6be944994a3aeac9bce19fda02021-12-01T00:00:00Zhttps://doi.org/10.1049/cth2.12189https://doaj.org/toc/1751-8644https://doaj.org/toc/1751-8652Abstract This paper proposed an adaptive super‐twisting (AST)‐based fractional‐order sliding mode control algorithm under disturbances for redundantly actuated cable driving parallel robots. A novel fractional‐order non‐singular fast terminal sliding mode surface is constructed, and the fast response convergence and accuracy tracking performance can be obtained in the sliding mode phase; meanwhile, an auxiliary system is designed to overcome the adverse effects of the input saturation. Then, to compensate for the model uncertainty and external disturbances, the uncertainty and disturbance estimation is designed, and a novel AST algorithm is developed to suppress the estimation error without the known bound of the adaptive gains and guarantee the finite‐time convergence in the reaching phase. The Lyapunov stability theory is employed to prove the convergence of the proposed controller. Finally, numerical simulations are conducted in the commercial software of MATLAB/SIMULINK to demonstrate the effectiveness of the proposed controller.Chen ZhengshengWang XuesongCheng YuhuWileyarticleControl engineering systems. Automatic machinery (General)TJ212-225ENIET Control Theory & Applications, Vol 15, Iss 18, Pp 2243-2257 (2021)
institution DOAJ
collection DOAJ
language EN
topic Control engineering systems. Automatic machinery (General)
TJ212-225
spellingShingle Control engineering systems. Automatic machinery (General)
TJ212-225
Chen Zhengsheng
Wang Xuesong
Cheng Yuhu
Adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation
description Abstract This paper proposed an adaptive super‐twisting (AST)‐based fractional‐order sliding mode control algorithm under disturbances for redundantly actuated cable driving parallel robots. A novel fractional‐order non‐singular fast terminal sliding mode surface is constructed, and the fast response convergence and accuracy tracking performance can be obtained in the sliding mode phase; meanwhile, an auxiliary system is designed to overcome the adverse effects of the input saturation. Then, to compensate for the model uncertainty and external disturbances, the uncertainty and disturbance estimation is designed, and a novel AST algorithm is developed to suppress the estimation error without the known bound of the adaptive gains and guarantee the finite‐time convergence in the reaching phase. The Lyapunov stability theory is employed to prove the convergence of the proposed controller. Finally, numerical simulations are conducted in the commercial software of MATLAB/SIMULINK to demonstrate the effectiveness of the proposed controller.
format article
author Chen Zhengsheng
Wang Xuesong
Cheng Yuhu
author_facet Chen Zhengsheng
Wang Xuesong
Cheng Yuhu
author_sort Chen Zhengsheng
title Adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation
title_short Adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation
title_full Adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation
title_fullStr Adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation
title_full_unstemmed Adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation
title_sort adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation
publisher Wiley
publishDate 2021
url https://doaj.org/article/3545f4a6be944994a3aeac9bce19fda0
work_keys_str_mv AT chenzhengsheng adaptivesupertwistingalgorithmbasedfractionalorderslidingmodecontrolofredundantlyactuatedcabledrivingparallelrobotwithuncertaintyanddisturbanceestimation
AT wangxuesong adaptivesupertwistingalgorithmbasedfractionalorderslidingmodecontrolofredundantlyactuatedcabledrivingparallelrobotwithuncertaintyanddisturbanceestimation
AT chengyuhu adaptivesupertwistingalgorithmbasedfractionalorderslidingmodecontrolofredundantlyactuatedcabledrivingparallelrobotwithuncertaintyanddisturbanceestimation
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