系列弹性执行的被动实现:工厂和控制器动态对触觉染性能的影响
IEEE transactions on haptics
|September 27, 2024
概括
我们开发了系列 (化) 弹性执行 (S(D) EA) 的被动物理模型,以了解控制系统的性能和被动性. 这些模型简化了分析,并揭示了负控制器收益对增强触觉染的好处.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 机械工程 机械工程
- 触觉技术是一种触觉技术.
背景情况:
- 系列弹性执行器 (SEA) 和系列缓冲弹性执行器 (SDEA) 对于安全有效的机器人系统至关重要.
- 了解被动性对于闭环稳定性和阻抗控制系统的性能至关重要.
- 分析S(D)EA被动性的现有方法可能很复杂,缺乏直观的物理解释.
研究的目的:
- 在闭环控制下引入S(D)EA的最小被动物理实现.
- 确定工厂参数和控制器收益对系统性能和被动性极限的影响.
- 建立一个直观的理解和严格的比较的S(D)EA动态和控制器策略.
主要方法:
- 开发S(D)EA系统的被动物理等价物.
- 对被动物理等效的可行性条件的推导.
- 将这些条件与速度源阻抗控制 (VSIC) 的现有被动性条件进行比较.
- 实验验证理论被动性结果和触觉染性能.
主要成果:
- 被动物理等价物简化了对控制器收益和工厂动态的分析.
- 这些等值方便有效的阻抗分析,并促进控制器和执行器的共同设计.
- 这项研究证明了负控制器增益的有效性,当与特定的植物动态相结合时.
- 实验结果验证了关于被动性的理论发现,并描述了触觉染性能.
结论:
- 最小的被动物理实现提供了一个直观而严格的框架来分析S(D)EA系统.
- 这种方法提高了对被动性,控制器设计和系统性能的理解.
- 这些发现对于推进高性能触觉系统的设计和实施至关重要.
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