4.6 Article

The effects of compliant support on the dynamics of a dielectric elastomer actuator: a parametric study

Journal

SMART MATERIALS AND STRUCTURES
Volume 32, Issue 8, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.1088/1361-665X/ace40c

Keywords

dielectric elastomer actuators; soft robotics; resonant actuation; two-degree-of-freedom system

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Introduces the resonant actuation of dielectric elastomer actuators (DEAs) that can greatly amplify power outputs and energy efficiencies, and its applications in soft robotics. Investigates the effects of compliant supports on the dynamics of DEAs on soft robots through a study on a double cone DEA-compliant support system. Develops a nonlinear dynamic model of the system and characterizes its dynamics in different support configurations, clarifying the influences of key parameters. The key findings can potentially guide the designs of future high-performance DEA-driven soft robots.
The resonant actuation of dielectric elastomer actuators (DEAs) can greatly amplify the power outputs and energy efficiencies and has facilitated numerous applications in soft robotics. In many circumstances, the DEAs are mounted on robotic bodies that are made of soft materials or compliant structures. Such compliant supports can demonstrate an equivalent stiffness and inertia comparable to the DEAs, thereby complicating the dynamics of the DEAs and threatening the performance and controllability of the soft robots by introducing additional degrees of freedom to the systems. Toward the goal of achieving reliable and controllable resonating actuation of the DEAs on soft robots, the effects of compliant supports on the dynamics of DEAs require dedicated investigations. By adopting a double cone DEA configuration, this work conducts a comprehensive study on the dynamics of a double cone DEA-compliant support system. A nonlinear dynamic model of the double cone DEA-compliant support system is developed. Together with experimental studies, the dynamics of the system in different support configurations are characterized and the influences of the key parameters in the system are clarified. The key findings of this work can potentially guide the designs of future high-performance DEA-driven soft robots.

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