Control of Antagonistic McKibben Muscles via a Bio-inspired Approach

Page view(s)
Checked on May 24, 2024
Control of Antagonistic McKibben Muscles via a Bio-inspired Approach
Control of Antagonistic McKibben Muscles via a Bio-inspired Approach
Journal Title:
Journal of Bionic Engineering
Publication Date:
18 July 2022
Chen, X., Zhu, W., Liang, W., Lang, Y., & Ren, Q. (2022). Control of Antagonistic McKibben Muscles via a Bio-inspired Approach. Journal of Bionic Engineering.
McKibben muscles are increasingly used in many robotic applications due to their advantages of lightweight, compliant, and skeletal muscles-like behaviours. However, there are still huge challenges in the motion control of McKibben muscles due to the system nonlinearity (e.g., hysteresis) and model uncertainties. To investigate the control issues, a soft artificial arm actuated by an antagonistic pair of McKibben muscles, mimicking the biological structure of skeleton-muscle systems, is developed. Inspired by the biological motor control capability that humans can control and coordinate a group of muscles to achieve complex motions, a cerebellum-like controller based on Spiking Neural Networks (SNNs) is employed for the motion control of the developed artificial arm. Benefit from the employment of the SNN-based cerebellar model, the proposed control scheme provides online adaptive learning capability, good computational efficiency, fast response, and strong robustness. Finally, several simulations and experiments are conducted subject to different environmental disturbances. Both simulation and experimental results verify that the proposed method can achieve good tracking performance, adaptability, and strong robustness.
License type:
Publisher Copyright
Funding Info:
This work was supported by the National Natural Science Foundation, China (No. 62173300).
This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at:
Files uploaded:

File Size Format Action
chen2022control.pdf 6.85 MB PDF Open