Abstract

With desirable physical performances of impressive actuation strain, high energy density, high degree of electromechanical coupling and high mechanical compliance, dielectric elastomer actuators (DEAs) are widely employed to actuate the soft robots. However, there are many challenges to establish the dynamic models for DEAs, such as their inherent nonlinearity, complex electromechanical coupling, and time-dependent viscoelastic behavior. Moreover, most previous studies concentrated on the planar DEAs, but the studies on DEAs with some other functional shapes are insufficient. In this paper, by investigating a conical DEA with the material of polydimethylsiloxane and considering the influence of inertia, we propose a dynamic model based on the principles of nonequilibrium thermodynamics. This dynamic model can describe the complex motion characteristics of the conical DEA. Based on the experimental data, the differential evolution algorithm is employed to identify the undetermined parameters of the developed dynamic model. The result of the model validation demonstrates the effectiveness of the model.

Highlights

  • Soft robots, a kind of flexible machinery, aim at operating in natural environments and realizing complex functions [1]

  • The dynamic model of the conical dielectric elastomer actuators (DEAs) is proposed based on the theory of nonequilibrium thermodynamics

  • The undetermined parameters in the dynamic model of the DEA are identified by using the differential evolution algorithm

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Summary

OPEN ACCESS

Data Availability Statement: All relevant data are within the manuscript. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

Introduction
DEA modeling
Dynamic modeling of dielectric elastomer actuator
The relationship between the charge Q and the voltage F is
DEA fabrication
Experimental platform
Model identification
Driving voltage
Parameters identification
Model validation with different driving voltage amplitudes
Model validation with different driving voltage frequencies
Model validation corresponding to force analysis
Conclusion
Findings
Author Contributions

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