Towards a Modular Framework for Visco-Hyperelastic Simulations of Soft Material Manipulators with Well-Parameterised Material

Max Bartholdt, Rebecca Berthold, M. Schappler
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Abstract

Controller design for continuum robots maintains to be a difficult task. Testing controllers requires dedicated work in manufacturing and investment into hardware as well as software, to acquire a test bench capable of performing dynamic control tasks. Typically, proprietary software for practical controller design such as Matlab/simulink is used but lacks specific implementations of soft material robots. This intermediate work presents the results of a toolchain to derive well-identified rod simulations. State-of-the-art methods to simulate the dynamics of continuum robots are integrated into an object-oriented implementation and wrapped into the Simulink framework. The generated S-function is capable of handling arbitrary, user-defined input such as pressure actuation or external tip forces as demonstrated in numerical examples. With application to a soft pneumatic actuator, stiffness parameters of a nonlinear hyperelastic material law are identified via finite element simulation and paired with heuristically identified damping parameters to perform dynamic simulation. To prove the general functionality of the simulation, a numerical example as well as a benchmark from literature is implemented and shown. A soft pneumatic actuator is used to generate validation data, which is in good accordance with the respective simulation output. The tool is provided as an open-source project****Code available under https://gitlab.com/soft_material_robotics/cosserat-rod-simulink-sfunction.
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基于模块化框架的材料参数化软材料机械臂粘弹性仿真研究
连续体机器人的控制器设计一直是一个难点。测试控制器需要在硬件和软件的制造和投资方面进行专门的工作,以获得能够执行动态控制任务的试验台。通常,使用专用软件进行实际控制器设计,如Matlab/simulink,但缺乏软材料机器人的具体实现。这项中间工作展示了工具链的结果,以获得良好识别的杆模拟。最先进的方法来模拟连续体机器人的动力学集成到一个面向对象的实现和包装到Simulink框架。生成的s函数能够处理任意的、用户定义的输入,如压力驱动或外部尖端力,如数值示例所示。以柔性气动执行器为例,通过有限元仿真识别非线性超弹性材料律的刚度参数,并与启发式识别的阻尼参数配对进行动态仿真。为了证明仿真的一般功能,实现并展示了一个数值例子和一个参考文献的基准。采用软气动执行器生成验证数据,验证数据与仿真输出吻合较好。该工具作为开源项目****提供,代码可在https://gitlab.com/soft_material_robotics/cosserat-rod-simulink-sfunction下获得。
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