A New Dynamic Modelling Algorithm for Pneumatic Muscle Actuators
Pneumatic muscle actuators (PMAs) have been widely used in wearable robots due to its high power to weight ratio and intrinsic compliance. However, dynamic modelling of PMAs, which is important to control performance, has not been researched extensively. Hence, a testing device was designed and buil...
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| Published in | Intelligent Robotics and Applications pp. 432 - 440 |
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| Main Authors | , , , |
| Format | Book Chapter |
| Language | English |
| Published |
Cham
Springer International Publishing
2014
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| Series | Lecture Notes in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 3319139622 9783319139623 |
| ISSN | 0302-9743 1611-3349 |
| DOI | 10.1007/978-3-319-13963-0_44 |
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| Abstract | Pneumatic muscle actuators (PMAs) have been widely used in wearable robots due to its high power to weight ratio and intrinsic compliance. However, dynamic modelling of PMAs, which is important to control performance, has not been researched extensively. Hence, a testing device was designed and built to investigate PMA’s dynamics. The device automates the experimental process by providing motions and recording pressure, force, position and velocity data. The gathered experimental data enable the authors to validate a previous PMA dynamic model. Meanwhile, new models are developed from the original model. Statistical analysis proves that the new models can better represent the PMA dynamics during the experiments. |
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| AbstractList | Pneumatic muscle actuators (PMAs) have been widely used in wearable robots due to its high power to weight ratio and intrinsic compliance. However, dynamic modelling of PMAs, which is important to control performance, has not been researched extensively. Hence, a testing device was designed and built to investigate PMA’s dynamics. The device automates the experimental process by providing motions and recording pressure, force, position and velocity data. The gathered experimental data enable the authors to validate a previous PMA dynamic model. Meanwhile, new models are developed from the original model. Statistical analysis proves that the new models can better represent the PMA dynamics during the experiments. |
| Author | Cao, Jinghui Xie, Sheng Quan Das, Raj Zhang, Mingming |
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| DOI | 10.1007/978-3-319-13963-0_44 |
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| EISBN | 3319139630 9783319139630 |
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| Editor | Liu, Honghai Zhang, Xianmin Chen, Zhong Wang, Nianfeng |
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| PublicationSubtitle | 7th International Conference, ICIRA 2014, Guangzhou, China, December 17-20, 2014, Proceedings, Part II |
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| Snippet | Pneumatic muscle actuators (PMAs) have been widely used in wearable robots due to its high power to weight ratio and intrinsic compliance. However, dynamic... |
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| SubjectTerms | Pneumatic Muscle Actuator Rehabilitation Robotics Wearable Robotics |
| Title | A New Dynamic Modelling Algorithm for Pneumatic Muscle Actuators |
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