软机器人
灵活性(工程)
非线性系统
控制理论(社会学)
机械臂
模拟
工程类
计算机科学
分段
水下
常曲率
机器人
控制工程
曲率
人工智能
物理
数学
量子力学
数学分析
几何学
控制(管理)
地质学
海洋学
统计
作者
Qing Xie,Tao Wang,Shiqiang Zhu
标识
DOI:10.1088/1361-665x/ac736f
摘要
Abstract Inherent compliance equips soft robotic arms with such advantages as incomparable flexibility, good adaptability, and safe interaction with the environment, etc. However, the strong nonlinearity also brings challenges to predict their dynamic behaviors. This work presents a simplified dynamic model of an underwater soft robotic arm which has three fiber-reinforced hydraulic chambers distributed symmetrically in each section. By controlling the pressures in the chambers, the soft robotic arm can perform complex spatial motion with multiple degrees of freedom. The model is based on Lagrangian method and piecewise constant curvature hypothesis, and considers the nonlinear viscoelasticity of soft material. The model accuracy is verified by the experiments of a two-section soft robotic arm with different actuation modes. The effects of geometrical features on dynamic response are also investigated through model-based simulation and test verification, which can provide guidance to parameter optimization. The proposed dynamic model can be extended to multiple sections and contribute to behavior analysis, performance prediction, and motion control of the soft robotic arm.
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