Bioinspired adaptive control for artificial muscles

Wilson, Emma Denise and Assaf, Tareq and Pearson, Martin J and Rossiter, Jonathan M and Anderson, Sean R and Porrill, John (2013) Bioinspired adaptive control for artificial muscles. In: Conference on Biomimetic and Biohybrid Systems, 2013-07-29.

Full text not available from this repository.

Abstract

The new field of soft robotics offers the prospect of replacing existing hard actuator technologies by artificial muscles more suited to human-centred robotics. It is natural to apply biomimetic control strategies to the control of these actuators. In this paper a cerebellar-inspired controller is successfully applied to the real-time control of a dielectric electroactive actuator. To analyse the performance of the algorithm in detail we identified a time-varying plant model which accurately described actuator properties over the length of the experiment. Using synthetic data generated by this model we compared the performance of the cerebellar-inspired controller with that of a conventional adaptive control scheme (filtered-x LMS). Both the cerebellar and conventional algorithms were able to control displacement for short periods, however the cerebellar-inspired algorithm significantly outperformed the conventional algorithm over longer duration runs where actuator characteristics changed significantly. This work confirms the promise of biomimetic control strategies for soft-robotics applications.

Item Type:
Contribution to Conference (Paper)
Journal or Publication Title:
Conference on Biomimetic and Biohybrid Systems
Subjects:
ID Code:
131473
Deposited By:
Deposited On:
27 Feb 2019 16:00
Refereed?:
Yes
Published?:
Published
Last Modified:
19 Aug 2020 08:10