Back to Search
Start Over
Maximal Performance of an Antagonistically Coupled Dielectric Elastomer Actuator System
- Source :
- Soft Robotics. 8:200-212
- Publication Year :
- 2021
- Publisher :
- Mary Ann Liebert Inc, 2021.
-
Abstract
- Dielectric elastomer actuators (DEAs) have been shown to produce electrically induced strains beyond 500%. The ability to undergo large deformation allows the DEA to store large amounts of elastic energy by electrical actuation; it also allows the DEA to perform flexibly in a diverse range of motions. Existing studies used different methods to maximize actuation strain for soft robotic applications. In this article, we examine the actuation of our antagonistically coupled DEAs, reminiscent to that of human muscles. We perform an analysis to reveal optimal conditions that maximize its actuation stroke, actuation force, and output energy. We quantify actuation stroke by the displacement sweep due to electrical actuation, between two fixed points, expressed as a percentage, and refer to this as "actuation sweep." From the analysis, we predicted an optimal prestretch for the DEA that corresponds to a 59% actuation sweep. In our experiment, we realized a 55% actuation sweep. We further characterized the output force and the mechanical work done for complete performance appraisal of the antagonistic system both theoretically and experimentally. We realized an antagonistic soft actuator system with simple geometry that provides significant electrically induced displacement, force, and work done, similar to that of biological muscle systems, and demonstrated its efficacy.
- Subjects :
- 0209 industrial biotechnology
Materials science
Large deformation
Soft actuator
Biophysics
Soft robotics
Dielectric elastomer actuator
02 engineering and technology
Displacement (vector)
Computer Science::Robotics
020901 industrial engineering & automation
Electricity
Computer Science::Systems and Control
Artificial Intelligence
Control theory
Humans
Stroke (engine)
Mechanical Phenomena
Elastic energy
Robotics
021001 nanoscience & nanotechnology
Computer Science::Other
Stroke
Elastomers
Control and Systems Engineering
0210 nano-technology
Energy (signal processing)
Subjects
Details
- ISSN :
- 21695180 and 21695172
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Soft Robotics
- Accession number :
- edsair.doi.dedup.....341ea150fc979ab9b433cd8c549220e0
- Full Text :
- https://doi.org/10.1089/soro.2019.0176