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Explore Bristol Research
Article . 2019
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Robotics and Autonomous Systems
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Multistable series elastic actuators: Design and control

Authors: Leonardo Cappello; Michele Xiloyannis; Binh Khanh Dinh; Alberto Pirrera; Filippo Mattioni; Lorenzo Masia;

Multistable series elastic actuators: Design and control

Abstract

Abstract In this paper we propose a novel actuation concept, consisting of a conventional DC motor in series with a compliant element having multiple configurations of equilibrium. The proposed device works similarly to a traditional series elastic actuator, where the elasticity increases safety and force control accuracy, but presents the possibility of achieving higher efficiency and releasing energy at a higher bandwidth. An introduction on the mechanical properties of the multistable element explains its working principle and provides simple model-based guidelines to its design. We characterize the actuator and propose a robust algorithm to control both storage and rate of release of its elastic energy. Using only an incremental encoder on the motor’s axis, we show that we can reliably control the position of the actuator and its convergence towards a state of stable equilibrium. The proposed robust control architecture sensibly improves the tracking accuracy with respect to conventional PID controllers. Once reconfigured, no additional energy from the motor is required to hold the position, making the actuator appealing for energy-efficient systems. We conclude with a discussion on the limitations and advantages of such technology, suggesting avenues for its application in the field of assistive robotics.

Countries
Italy, United Kingdom
Keywords

Linear Kalman filter; Multistability; Robust position control; Series elastic actuators; System identification, Linear Kalman filter, Series elastic actuators, Robust position control, Multistability, System identification, 620, 004

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
hybrid