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...
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.1177/1729881418801738 |
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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 |
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_version_ |
1724672991101452288 |