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复合连续操纵器用于手术:高效的基于静态的动力学.

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概括
此摘要是机器生成的。

本研究介绍了一种基于复合连续操纵器的新型机械模型,克服了关节诱导的曲率问题. 建议使用多项式曲线 (IKAPC) 的反向运动算法显著提高了复杂机器人任务的速度和准确性.

关键词:
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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 机械工程 机械工程
  • 控制系统 控制系统

背景情况:

  • 连续操纵器为复杂的机器人任务提供了潜在的解决方案,但由于关节诱导的非恒定曲率而面临限制.
  • 现有的模型通常依赖于恒定曲率假设,这不充分地代表了多个关节的操纵器的行为.

研究的目的:

  • 为复合连续操纵器开发一种基于力学的动力学模型,以解释非恒定的曲率.
  • 为改进操纵器控制提出使用多项式曲线 (IKAPC) 的高效反向运动算法.

主要方法:

  • 建立了一个基于机械的静态模型,以确定复合连续操纵器中曲角度之间的关系.
  • 使用多项式曲线 (IKAPC) 的反向运动算法被开发出来,利用多项式曲线来适应终端效应轨迹.

主要成果:

  • 模拟表明,IKAPC的速度是莱文伯格-马奎特算法的354倍.
  • 实验结果证实,与恒定曲率方法相比,基于力学模型的位置精度提高了3.75倍.

结论:

  • 拟议的基于力学模型准确地捕捉了复合连续操纵器的非常数曲率.
  • IKAPC为这些操纵器的逆动力学提供了一个计算效率高,准确的解决方案,这对于它们的实际应用至关重要.