Jeong Seung Mo, Mun Heeju, Yun Sungryul, Kyung Ki-Uk
Human-Robot Interaction Laboratory, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Tangible Interface Creative Research Section, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea.
Front Bioeng Biotechnol. 2023 Feb 10;11:1006346. doi: 10.3389/fbioe.2023.1006346. eCollection 2023.
Recently, as a strong candidate for artificial muscle, dielectric elastomer actuators (DEAs) have been given the spotlight due to their attractive benefits from fast, large, and reversible electrically-controllable actuation in ultra-lightweight structures. Meanwhile, for practical use in mechanical systems such as robotic manipulators, the DEAs are facing challenges in their non-linear response, time-varying strain, and low load-bearing capability due to their soft viscoelastic nature. Moreover, the presence of an interrelation among the time-varying viscoelasticity, dielectric, and conductive relaxations causes difficulty in the estimation of their actuation performance. Although a rolled configuration of a multilayer stack DEA opens up a promising route to enhance mechanical properties, the use of multiple electromechanical elements inevitably causes the estimation of the actuation response to be more complex. In this paper, together with widely used strategies to construct DE muscles, we introduce adoptable models that have been developed to estimate their electro-mechanical response. Moreover, we propose a new model that combines both non-linear and time-dependent energy-based modeling theories for predicting the long-term electro-mechanical dynamic response of the DE muscle. We verified that the model could accurately estimate the long-term dynamic response for as long as 20 min only with small errors as compared with experimental results. Finally, we present future perspectives and challenges with respect to the performance and modeling of the DE muscles for their practical use in various applications including robotics, haptics, and collaborative devices.
最近,作为人工肌肉的有力候选者,介电弹性体致动器(DEA)因其在超轻结构中具有快速、大幅且可逆的电控驱动等诱人优势而备受关注。与此同时,对于诸如机器人操纵器等机械系统的实际应用而言,由于DEA具有柔软的粘弹性,它们在非线性响应、时变应变和低承载能力方面面临挑战。此外,时变粘弹性、介电弛豫和导电弛豫之间存在相互关系,这使得估计它们的驱动性能变得困难。尽管多层堆叠DEA的卷绕配置为增强机械性能开辟了一条有前景的途径,但使用多个机电元件不可避免地会使驱动响应的估计变得更加复杂。在本文中,我们在介绍广泛用于构建DEA肌肉的策略的同时,引入了已开发用于估计其机电响应的适用模型。此外,我们提出了一种新模型,该模型结合了基于能量的非线性和时间相关建模理论,用于预测DEA肌肉的长期机电动态响应。我们验证了该模型能够仅以较小误差准确估计长达20分钟的长期动态响应,与实验结果相比。最后,我们针对DEA肌肉在机器人技术、触觉和协作设备等各种应用中的实际应用,阐述了其性能和建模方面的未来前景与挑战。