Hybrid Control of 3D-Printed Multimodal Soft Pneumatic Actuators

Soft pneumatic actuators (SPAs) offer a promising alternative for biomedical applications requiring high sensitivity and precise manipulation due to their inherent compliance. 3-Dprinted multi-modal zig-zag SPAs exhibit potential in this area by achieving repeatable and precise shape changes due to their chambered design. However, achieving accurate position control remains a challenge. This work proposes a hybrid control strategy for multi-modal zig-zag SPAs that combines feed-forward and proportional-integral-derivative (PID) control to enhance positioning accuracy. A Pseudo Rigid Body (PRB) based inverse dynamic model is employed for the feed-forward component. The effectiveness of the controller is evaluated through extensive simulations and experiments. Results demonstrate that the hybrid control strategy achieves up to 29.5% and 31.6% improvement in accuracy compared to the PID and feed-forward controllers, respectively, within the operational bandwidth.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10632894
Citations
3
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.55

Funders

Controls
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article

Hybrid Control of 3D-Printed Multimodal Soft Pneumatic Actuators

Xuan Tung Le, Isuru S. Godage, P. D. S. H. Gunawardane, Mu Chiao et al.
3 citations
Soft Robotics and Applications
0.55
article

Hybrid Control of 3D-Printed Multimodal Soft Pneumatic Actuators

Xuan Tung Le, Isuru S. Godage, P. D. S. H. Gunawardane, Mu Chiao, Sanjaya Mallikarachchi
article en
3 citations

Abstract

Soft pneumatic actuators (SPAs) offer a promising alternative for biomedical applications requiring high sensitivity and precise manipulation due to their inherent compliance. 3-Dprinted multi-modal zig-zag SPAs exhibit potential in this area by achieving repeatable and precise shape changes due to their chambered design. However, achieving accurate position control remains a challenge. This work proposes a hybrid control strategy for multi-modal zig-zag SPAs that combines feed-forward and proportional-integral-derivative (PID) control to enhance positioning accuracy. A Pseudo Rigid Body (PRB) based inverse dynamic model is employed for the feed-forward component. The effectiveness of the controller is evaluated through extensive simulations and experiments. Results demonstrate that the hybrid control strategy achieves up to 29.5% and 31.6% improvement in accuracy compared to the PID and feed-forward controllers, respectively, within the operational bandwidth.

University of British Columbia (CA), Texas A&M University (US)
National Science Foundation, HORIZON EUROPE Health
Affordable and clean energy
Openalex Percentile: Top 38%
Soft Robotics and Applications
0.55
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Hybrid Control of 3D-Printed Multimodal Soft Pneumatic Actuators — Xuan Tung Le, Isuru S. Godage, et al. · (2024) | TGRS Research Map | TGRS