Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics

To overcome the disadvantages of conventional computed-torque control and fuzzy control, and to exploit their attractive features, this paper proposes two types of adaptive control scheme combining conventional computed-torque control and different fuzzy compensators for the robust tracking control...

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Main Authors: Yuan Chen, Guangying Ma, Shuxia Lin, Jun Gao
Format: Article
Language:English
Published: SAGE Publishing 2012-12-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/54643
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author Yuan Chen
Guangying Ma
Shuxia Lin
Jun Gao
author_facet Yuan Chen
Guangying Ma
Shuxia Lin
Jun Gao
author_sort Yuan Chen
collection DOAJ
description To overcome the disadvantages of conventional computed-torque control and fuzzy control, and to exploit their attractive features, this paper proposes two types of adaptive control scheme combining conventional computed-torque control and different fuzzy compensators for the robust tracking control of robotic manipulators with structured and unstructured uncertainties. Fuzzy compensators based on feed-forward and feed-back are developed to compensate these uncertain dynamics. On the basis of Lyapunov stability theory, a tracking error limit is derived for the closed-loop control system and the convergence and stability of the control schemes are proved. Comparisons of their performances with conventional computed-torque controllers under the condition of these uncertainties are carried out. The validity of the two types of adaptive control scheme is shown by numerical simulations of a three-link rotary robot manipulator.
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spelling doaj.art-a72477bd6dc844c7b961b5dba9c78e612022-12-22T01:20:23ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142012-12-01910.5772/5464310.5772_54643Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain DynamicsYuan Chen0Guangying Ma1Shuxia Lin2Jun Gao3 School of Mechanical, Electrical & Information Engineering, Shandong University at Weihai, China School of Mechanical, Electrical & Information Engineering, Shandong University at Weihai, China School of Mechanical, Electrical & Information Engineering, Shandong University at Weihai, China School of Mechanical, Electrical & Information Engineering, Shandong University at Weihai, ChinaTo overcome the disadvantages of conventional computed-torque control and fuzzy control, and to exploit their attractive features, this paper proposes two types of adaptive control scheme combining conventional computed-torque control and different fuzzy compensators for the robust tracking control of robotic manipulators with structured and unstructured uncertainties. Fuzzy compensators based on feed-forward and feed-back are developed to compensate these uncertain dynamics. On the basis of Lyapunov stability theory, a tracking error limit is derived for the closed-loop control system and the convergence and stability of the control schemes are proved. Comparisons of their performances with conventional computed-torque controllers under the condition of these uncertainties are carried out. The validity of the two types of adaptive control scheme is shown by numerical simulations of a three-link rotary robot manipulator.https://doi.org/10.5772/54643
spellingShingle Yuan Chen
Guangying Ma
Shuxia Lin
Jun Gao
Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics
International Journal of Advanced Robotic Systems
title Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics
title_full Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics
title_fullStr Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics
title_full_unstemmed Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics
title_short Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics
title_sort adaptive fuzzy computed torque control for robot manipulator with uncertain dynamics
url https://doi.org/10.5772/54643
work_keys_str_mv AT yuanchen adaptivefuzzycomputedtorquecontrolforrobotmanipulatorwithuncertaindynamics
AT guangyingma adaptivefuzzycomputedtorquecontrolforrobotmanipulatorwithuncertaindynamics
AT shuxialin adaptivefuzzycomputedtorquecontrolforrobotmanipulatorwithuncertaindynamics
AT jungao adaptivefuzzycomputedtorquecontrolforrobotmanipulatorwithuncertaindynamics