Model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systems

Computed torque control is an effective control scheme for trajectory tracking of robotic manipulators. However, computed torque control requires precise dynamic models of robotic manipulators and is severely affected by uncertain dynamics. Thus, a new scheme that combines a computed torque control...

Full description

Bibliographic Details
Main Authors: Chao Chen, Chengrui Zhang, Tianliang Hu, Hepeng Ni, WeiChao Luo
Format: Article
Language:English
Published: SAGE Publishing 2018-09-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881418801738
id doaj-80d03ded4fe24bf480c09b6e2954afd2
record_format Article
spelling doaj-80d03ded4fe24bf480c09b6e2954afd22020-11-25T03:06:42ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142018-09-011510.1177/1729881418801738Model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systemsChao Chen0Chengrui Zhang1Tianliang Hu2Hepeng Ni3WeiChao Luo4 National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, People’s Republic of China National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, People’s Republic of China National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, People’s Republic of China National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, People’s Republic of China National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, People’s Republic of ChinaComputed torque control is an effective control scheme for trajectory tracking of robotic manipulators. However, computed torque control requires precise dynamic models of robotic manipulators and is severely affected by uncertain dynamics. Thus, a new scheme that combines a computed torque control and a novel model-assisted extended state observer is developed for the robust tracking control of robotic manipulators subject to structured and unstructured uncertainties to overcome the disadvantages of computed torque control and exploit its merits. The model-assisted extended state observer is designed to estimate and compensate these uncertain dynamics as a lumped disturbance online, which further improves the disturbance rejection property of a robotic system. Global uniform ultimate boundedness stability with an exponential convergence of a closed-loop system is verified through Lyapunov method. Simulations are performed on a two degree-of-freedom manipulator to verify the effectiveness and superiority of the proposed controller.https://doi.org/10.1177/1729881418801738
collection DOAJ
language English
format Article
sources DOAJ
author Chao Chen
Chengrui Zhang
Tianliang Hu
Hepeng Ni
WeiChao Luo
spellingShingle Chao Chen
Chengrui Zhang
Tianliang Hu
Hepeng Ni
WeiChao Luo
Model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systems
International Journal of Advanced Robotic Systems
author_facet Chao Chen
Chengrui Zhang
Tianliang Hu
Hepeng Ni
WeiChao Luo
author_sort Chao Chen
title Model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systems
title_short Model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systems
title_full Model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systems
title_fullStr Model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systems
title_full_unstemmed Model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systems
title_sort model-assisted extended state observer-based computed torque control for trajectory tracking of uncertain robotic manipulator systems
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2018-09-01
description Computed torque control is an effective control scheme for trajectory tracking of robotic manipulators. However, computed torque control requires precise dynamic models of robotic manipulators and is severely affected by uncertain dynamics. Thus, a new scheme that combines a computed torque control and a novel model-assisted extended state observer is developed for the robust tracking control of robotic manipulators subject to structured and unstructured uncertainties to overcome the disadvantages of computed torque control and exploit its merits. The model-assisted extended state observer is designed to estimate and compensate these uncertain dynamics as a lumped disturbance online, which further improves the disturbance rejection property of a robotic system. Global uniform ultimate boundedness stability with an exponential convergence of a closed-loop system is verified through Lyapunov method. Simulations are performed on a two degree-of-freedom manipulator to verify the effectiveness and superiority of the proposed controller.
url https://doi.org/10.1177/1729881418801738
work_keys_str_mv AT chaochen modelassistedextendedstateobserverbasedcomputedtorquecontrolfortrajectorytrackingofuncertainroboticmanipulatorsystems
AT chengruizhang modelassistedextendedstateobserverbasedcomputedtorquecontrolfortrajectorytrackingofuncertainroboticmanipulatorsystems
AT tianlianghu modelassistedextendedstateobserverbasedcomputedtorquecontrolfortrajectorytrackingofuncertainroboticmanipulatorsystems
AT hepengni modelassistedextendedstateobserverbasedcomputedtorquecontrolfortrajectorytrackingofuncertainroboticmanipulatorsystems
AT weichaoluo modelassistedextendedstateobserverbasedcomputedtorquecontrolfortrajectorytrackingofuncertainroboticmanipulatorsystems
_version_ 1724672991101452288