相关实验视频
Updated: Jul 16, 2025

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Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
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一种新的方法,通过补偿路径错误来提高机器人平滑系统中的光学元件平滑质量
Optics express
|September 15, 2023
概括
这项研究介绍了一种切比舍夫插入的莱文伯格-马奎特算法 (CILM),用于改进光学元件的机器人光滑. CILM有效地弥补了路径偏差,提高了加工质量和精度.
科学领域:
- 光学工程的光学工程.
- 机器人技术 机器人技术 机器人技术
- 精密制造 精密制造 精密制造 精密制造
背景情况:
- 机械加工设备中的几何错误会导致路径偏差,降低光学元件的质量.
- 机器人光滑系统对于光学元件处理至关重要,但容易发生这些错误.
研究的目的:
- 介绍一个切比舍夫插入的莱文伯格-马奎特算法 (CILM) 用于在机器人平滑系统中补偿路径偏差.
- 提高光学元件加工的加工质量和效率.
主要方法:
- 激光追踪器测量以评估机器人光滑系统的定位精度.
- 使用机器人动力学和错误模型来优化几何错误的目标函数构造.
- 应用CILM来识别几何参数并补偿路径偏差.
主要成果:
- CILM显著提高了机器人光滑系统的绝对定位精度.
- 实验结果显示,峰值到谷值 (15.70%,28.7%,4.01%) 和平方根平均值 (33.67%,21.57%,10.23%) 的降低.
- 功率光谱密度曲线在CILM补偿后表现出更光滑的表面特征.
结论:
- 在光学元件的机器人光滑系统中,CILM有效地弥补了路径偏差.
- 拟议的方法提高了加工光学元件的定位精度和表面质量.
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