Presentation + Paper
22 March 2021 Modeling and parameter identification of rolled dielectric elastomer actuators for soft robots
Johannes Prechtl, Julian Kunze, Daniel Bruch, Stefan Seelecke, Gianluca Rizzello
Author Affiliations +
Abstract
In recent years, dielectric elastomers (DEs) have found novel applications in the field of soft robotics, where compliant and compact actuators with high energy densities are needed. Rolled DEs can be effectively used to achieve muscle-like actuators for soft robots, eliminating the need for external motors while providing at the same time a lightweight structure with self-sensing capabilities. In this paper, we propose a large deformation, energy-based model for rolled DEs which permits to describe the actuator behavior in a lumped-parameter fashion. The model is intended for control and self-sensing applications. After presenting the model equations, a parameter identification is performed and discussed based on experimental data.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Johannes Prechtl, Julian Kunze, Daniel Bruch, Stefan Seelecke, and Gianluca Rizzello "Modeling and parameter identification of rolled dielectric elastomer actuators for soft robots", Proc. SPIE 11587, Electroactive Polymer Actuators and Devices (EAPAD) XXIII, 115871H (22 March 2021); https://doi.org/10.1117/12.2581019
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KEYWORDS
Robotics

Dielectric elastomer actuators

Actuators

Motion models

Algorithm development

Data modeling

Electrodes

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