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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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 |
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