新型可变刚度三自由度手腕的建模与控制

Giuseppe Milazzo, Manuel G. Catalano, Antonio Bicchi, Giorgio Grioli
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引用次数: 0

摘要

本研究介绍了一种创新设计,即通过调节非线性弹性元件的有效长度,能够主动、持续地调节整体刚度的可变刚度 3 自由度促动手腕。这种调节类似于人体肌肉的协同收缩,只需使用四个电机即可实现。采用这种机械结构设计的装置结构紧凑、重量轻,具有拟人化特征,因此可能适用于假肢和仿人机器人等应用领域。这一设计旨在提高动态任务中的性能,改善任务适应性,并确保与人和物体交互时的安全性。论文详细介绍了所提设计的首次硬件实现,深入探讨了理论模型、机械和电子元件以及控制架构。使用动作捕捉系统对系统性能进行了评估。结果表明,原型可提供广泛的运动范围(屈/伸[55, -45]°,桡/尺偏离±48°,前伸/上伸±180°),同时具有三倍刚度的能力。此外,在进行适当校准后,腕部姿势可通过使用旋转编码器和前向运动学模型进行多元线性回归来重建。这种重建的平均均方根误差为 6.6°,R2 值为 0.93。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Control of a Novel Variable Stiffness Three DoFs Wrist
This study introduces an innovative design for a Variable Stiffness 3 Degrees of Freedom actuated wrist capable of actively and continuously adjusting its overall stiffness by modulating the active length of non-linear elastic elements. This modulation is akin to human muscular cocontraction and is achieved using only four motors. The mechanical configuration employed results in a compact and lightweight device with anthropomorphic characteristics, making it potentially suitable for applications such as prosthetics and humanoid robotics. This design aims to enhance performance in dynamic tasks, improve task adaptability, and ensure safety during interactions with both people and objects. The paper details the first hardware implementation of the proposed design, providing insights into the theoretical model, mechanical and electronic components, as well as the control architecture. System performance is assessed using a motion capture system. The results demonstrate that the prototype offers a broad range of motion ([55, −45]° for flexion/extension, ±48° for radial/ulnar deviation, and ±180° for pronation/supination) while having the capability to triple its stiffness. Furthermore, following proper calibration, the wrist posture can be reconstructed through multivariate linear regression using rotational encoders and the forward kinematic model. This reconstruction achieves an average Root Mean Square Error of 6.6°, with an R2 value of 0.93.
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