人形上体机器人的设计和通过ZNN与矩阵衍生观察器的轨迹跟踪控制
Hong Yin1, Hongzhe Jin1, Yuchen Peng1
1School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150080, China.
Biomimetics (Basel, Switzerland)
|August 27, 2025
概括
这项研究介绍了一种具有增强双臂能力的新型22DOF人形机器人. 一个创新的观察器改善了复杂的机器人系统的轨迹跟踪,显著扩大了工作空间和精度.
科学领域:
- 机器人技术
- 控制系统
- 人工智能
背景情况:
- 人形机器人提供了先进的功能,
- 传统的归零神经网络 (ZNN) 控制器严重依赖于雅可比矩阵衍生品,限制了性能.
- 现有的机器人系统通常具有有限的工作空间和跟踪精度.
研究的目的:
- 通过人类生物力学引发的新型人形机器人系统.
- 为基于ZNN的轨迹跟踪引入一个集成增强矩阵导数观察器 (IEMDO).
- 提高人形机器人手臂的工作空间和控制精度.
主要方法:
- 设计了一个使用标准化空洞关节模块的22-DOF人形机器人系统.
- 开发了一个包含非线性反和整数校正的IEMDO来估计矩阵导数.
- 集成IEMDO与ZNN控制器进行轨迹跟踪.
主要成果:
- 拟议的人形机器人实现了87.7%的总工作空间和3.683倍的共同工作空间扩张.
- IEMDO证明了准确的实时矩阵导数估计与高强度的噪声.
- 在模拟和实验中实现了高精度的轨迹跟踪.
结论:
- 新的22-DOF人形机器人系统在工作空间和生物机械灵感方面提供了显著的改进.
- 在ZNN控制器中,IEMDO为准确的矩阵导数估计提供了理论上健全和实际的解决方案.
- 整合的框架可以实现高性能冗余的人形手臂控制,进步人形机器人领域.
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