人工肌肉
机器人学
执行机构
软机器人
机械能
有效载荷(计算)
弹性(物理)
弹性能
气动人工肌肉
弹性体
能量(信号处理)
工作(物理)
能量收集
仿生学
人工智能
高效能源利用
占空比
智能材料
机械工程
计算机科学
工程类
电压
机器人
材料科学
功率(物理)
数学
电气工程
纳米技术
物理
复合材料
网络数据包
计算机网络
统计
量子力学
作者
Chongjing Cao,Xing Gao,Andrew T. Conn
标识
DOI:10.1088/1361-665x/ab326b
摘要
Abstract In nature, animals reduce their cost of transport by utilising elastic energy recovery. Emerging soft robotic technologies such as dielectric elastomer actuators (DEAs) offer an advantage in achieving biomimetic energy efficient locomotion thanks to their high actuation strain and inherent elasticity. In this work, we conduct a comprehensive study on the feasibility of using antagonistic DEA artificial muscles for bio-inspired robotics. We adopt a double cone DEA configuration and develop a mathematical model to characterise its dynamic electromechanical response. It is demonstrated that this DEA design can be optimised in terms of the maximum work output by adjusting the strut height design parameter. Using this optimised design, we analyse the power/stroke output and the electromechanical efficiency of the DEA and show how these actuation characteristics can be maximised for different payload conditions, excitation frequencies and actuation waveforms. The elastic energy recovery from the DEA is then demonstrated by reducing the duty ratio of the actuation signal and thus allowing the stored elastic energy in the DEA membranes to contribute to the work output. A bio-inspired three-segment leg prototype driven by the same actuator is presented to demonstrate that the same energy recovery principle is feasible for bio-inspired robotics.
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