Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control

This study discusses a circular trajectory tracking function through a proposed pneumatic artificial muscle (PAM)-actuated robot manipulator. First, a dynamic model between a robot arm and a PAM cylinder is introduced. Then the parameters thereof are identified through a genetic algorithm (GA). Fina...

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Main Authors: Chih-Jer Lin, Ting-Yi Sie, Wen-Lin Chu, Her-Terng Yau, Chih-Hao Ding
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Actuators
Subjects:
Online Access:https://www.mdpi.com/2076-0825/10/3/66
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spelling doaj-5ed46acc55c949519ea1ba1e3a56a0962021-03-23T00:04:11ZengMDPI AGActuators2076-08252021-03-0110666610.3390/act10030066Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode ControlChih-Jer Lin0Ting-Yi Sie1Wen-Lin Chu2Her-Terng Yau3Chih-Hao Ding4Graduate Institute of automation Technology, National Taipei University of Technology, Taipei 10608, TaiwanGraduate Institute of automation Technology, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Mechanical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanDepartment of Mechanical Engineering, National Chung Cheng University, Chiayi 621301, TaiwanGraduate Institute of automation Technology, National Taipei University of Technology, Taipei 10608, TaiwanThis study discusses a circular trajectory tracking function through a proposed pneumatic artificial muscle (PAM)-actuated robot manipulator. First, a dynamic model between a robot arm and a PAM cylinder is introduced. Then the parameters thereof are identified through a genetic algorithm (GA). Finally, PID is used along with a high-order sliding-mode feedback controller to perform circular trajectory tracking. As the experimental results show, the parameters of sampling time and moment of inertia are set to accomplish the trajectory tracking task in this study. In addition, the maximum error between the objective locus and the following locus was 11.3035 mm when applying theta-axis control to the circular trajectory of the robot arm with zero load or lower load. In an experiment of controller comparison, the results demonstrate that a high-order sliding-mode feedback controller is more robust in resisting external interference and the uncertainty of modeling, making the robot arm have good performance when tracking.https://www.mdpi.com/2076-0825/10/3/66pneumatic artificial musclesrobotsliding-mode control
collection DOAJ
language English
format Article
sources DOAJ
author Chih-Jer Lin
Ting-Yi Sie
Wen-Lin Chu
Her-Terng Yau
Chih-Hao Ding
spellingShingle Chih-Jer Lin
Ting-Yi Sie
Wen-Lin Chu
Her-Terng Yau
Chih-Hao Ding
Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control
Actuators
pneumatic artificial muscles
robot
sliding-mode control
author_facet Chih-Jer Lin
Ting-Yi Sie
Wen-Lin Chu
Her-Terng Yau
Chih-Hao Ding
author_sort Chih-Jer Lin
title Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control
title_short Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control
title_full Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control
title_fullStr Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control
title_full_unstemmed Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control
title_sort tracking control of pneumatic artificial muscle-activated robot arm based on sliding-mode control
publisher MDPI AG
series Actuators
issn 2076-0825
publishDate 2021-03-01
description This study discusses a circular trajectory tracking function through a proposed pneumatic artificial muscle (PAM)-actuated robot manipulator. First, a dynamic model between a robot arm and a PAM cylinder is introduced. Then the parameters thereof are identified through a genetic algorithm (GA). Finally, PID is used along with a high-order sliding-mode feedback controller to perform circular trajectory tracking. As the experimental results show, the parameters of sampling time and moment of inertia are set to accomplish the trajectory tracking task in this study. In addition, the maximum error between the objective locus and the following locus was 11.3035 mm when applying theta-axis control to the circular trajectory of the robot arm with zero load or lower load. In an experiment of controller comparison, the results demonstrate that a high-order sliding-mode feedback controller is more robust in resisting external interference and the uncertainty of modeling, making the robot arm have good performance when tracking.
topic pneumatic artificial muscles
robot
sliding-mode control
url https://www.mdpi.com/2076-0825/10/3/66
work_keys_str_mv AT chihjerlin trackingcontrolofpneumaticartificialmuscleactivatedrobotarmbasedonslidingmodecontrol
AT tingyisie trackingcontrolofpneumaticartificialmuscleactivatedrobotarmbasedonslidingmodecontrol
AT wenlinchu trackingcontrolofpneumaticartificialmuscleactivatedrobotarmbasedonslidingmodecontrol
AT herterngyau trackingcontrolofpneumaticartificialmuscleactivatedrobotarmbasedonslidingmodecontrol
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