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设计一个主动-被动复合阻抗控制器的软机器人手臂在接触限制下的接触限制
Bo Yan1, Yinglong Chen1, Cheng Zhou2
1The Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, China.
Biomimetics (Basel, Switzerland)
|December 27, 2024
概括
软机器人手臂通过组合主动和被动阻抗来获得精确的控制. 这种新的复合控制器在受限制的环境中提高了安全性和适应性,克服了仅仅被动机制的局限性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 材料科学 材料科学 材料科学
背景情况:
- 软机器人手臂具有固有的被动阻抗,提供环境适应性和碰撞安全性.
- 无法控制的被动阻抗限制在受限制的环境中精确控制.
- 现有的方法很难通过被动性质来实现微调的阻抗控制.
研究的目的:
- 开发软机器人手臂的先进阻抗控制策略.
- 将主动阻抗控制与固有的被动特性集成在一起.
- 为了提高环境适应性和控制精度在受限制的场景.
主要方法:
- 提出了一个主动-被动复合阻抗控制器.
- 设计了一个基于位置的阻抗控制器用于比较分析.
- 通过模拟和实验开发和验证了两种控制系统.
主要成果:
- 复合活性-被动阻抗控制器表现出卓越的性能.
- 拟议的控制器显著提高了环境适应能力.
- 与只有被动或基于位置的方法相比,实现了阻抗控制的更高精度.
结论:
- 主动-被动复合阻抗控制器有效地解决了被动机制的局限性.
- 这种方法为精确和安全的软机器人操作提供了有希望的解决方案.
- 这项研究证实了软机器人的主动和被动控制结合的好处.
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