Position control of a soft pneumatic actuator based on the pressure parameter feedback model (PPFM)
Abstract Soft pneumatic actuators have been one of the cores of soft robotics research and play a key role in driving the development of soft robots. Due to its high degree of internal nonlinearity and unpredictable deformation caused by environmental influences, the control model established for soft robots is still a difficult problem in terms of improving accuracy. This paper proposes a new positional control method for soft pneumatic actuators that are suitable for independent 3D deformation at any position and are the core units of continuous robots. The pressure parameter feedback model (PPFM) of the airbag is obtained by adjusting the pressure input through a proportional valve, collecting the air pressure inside the airbag and obtaining the airbag expansion height. The pressure input signal is changed according to the PPFM of the airbag to control the position of the soft pneumatic actuator. A modular experimental platform is built to validate the PPFM-based control strategy, which is able to adjust the position of the end center point of the soft pneumatic actuator in space with the discussed characteristics. It is demonstrated that the theoretical model can significantly improve the stability and accuracy of the soft pneumatic actuator motion.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Position control of a soft pneumatic actuator based on the pressure parameter feedback model (PPFM) ; volume:15 ; number:2 ; year:2024 ; pages:407-416 ; extent:10
Mechanical sciences ; 15, Heft 2 (2024), 407-416 (gesamt 10)
- Creator
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Liu, Yuwang
Zhang, Dongyang
Yu, Yi
Chen, Peng
Shi, Wenping
Wang, Dongqi
- DOI
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10.5194/ms-15-407-2024
- URN
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urn:nbn:de:101:1-2408061136381.450528125511
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:44 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Liu, Yuwang
- Zhang, Dongyang
- Yu, Yi
- Chen, Peng
- Shi, Wenping
- Wang, Dongqi
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