大型光学载荷次镜调整机构优化设计及误差分配

韩春杨; 徐振邦; 吴清文; 贺帅; 于阳

doi:10.3788/OPE.20162405.1093

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大型光学载荷次镜调整机构优化设计及误差分配

微纳技术与精密机械 | 更新时间：2020-08-13

- 大型光学载荷次镜调整机构优化设计及误差分配
- Optimization design and error distribution for secondary mirror adjusting mechanism of large optical payload
- 光学精密工程 2016年24卷第5期页码：1093-1103
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所空间机器人系统创新研究室,吉林长春,130033
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.11302222)();中国科学院长春光学精密机械与物理研究所创新基金资助项目(No.Y4CX1SS141)()
- DOI：10.3788/OPE.20162405.1093
  中图分类号： V447.3;TH703
- 收稿日期：2015-11-12，
  
  修回日期：2015-12-17，
  
  纸质出版日期：2016-05-25
- 稿件说明：
移动端阅览
韩春杨, 徐振邦, 吴清文等. 大型光学载荷次镜调整机构优化设计及误差分配[J]. 光学精密工程, 2016,24(5): 1093-1103

HAN Chun-yang, XU Zhen-bang, WU Qing-wen etc. Optimization design and error distribution for secondary mirror adjusting mechanism of large optical payload[J]. Editorial Office of Optics and Precision Engineering, 2016,24(5): 1093-1103
韩春杨, 徐振邦, 吴清文等. 大型光学载荷次镜调整机构优化设计及误差分配[J]. 光学精密工程, 2016,24(5): 1093-1103 DOI： 10.3788/OPE.20162405.1093.

HAN Chun-yang, XU Zhen-bang, WU Qing-wen etc. Optimization design and error distribution for secondary mirror adjusting mechanism of large optical payload[J]. Editorial Office of Optics and Precision Engineering, 2016,24(5): 1093-1103 DOI： 10.3788/OPE.20162405.1093.

摘要

设计了一种用于大型光学载荷次镜在轨位姿精密调整的Hexapod型平台机构

并对其进行构型参数优化以及各支撑杆和上下铰点误差限的最优分配。建立了Hexapod平台机构运动学模型和静柔度模型

分析了主要结构参数对机构性能的影响。按照次镜精调机构性能要求

提出了定位精度指标和抗变形指标

建立了以构型参数为变量的优化目标函数

并利用遗传算法对两个单目标函数进行优化。利用加权分配法构造统一约束目标函数

利用遗传算法对其进行多目标优化。然后

建立非线性最优误差分配模型

对各支撑杆和上下铰点进行误差分配。最后

通过对原理样机性能指标的测试验证了上述研究方法的效果。研究结果表明:优化前后动平台定位精度提高了8.3%

抗变形能力提高了62.5%

铰点误差限由2.7

m提高到6.3

支撑杆误差限由1.3

m提高到3.2

m。另外

实验测得

轴相对定位精度为0.6%

静刚度达到41.14 N/

m。本研究提高了次镜精调机构的定位精度和静载抗变形能力

有助于缩短设计、加工周期

节约设计、加工成本。

Abstract

A Hexapod precision positioning platform called the Secondary Mirror Adjustment Mechanism(SMAM) was designed to precisely adjust the second mirror of a large optical payload. The structure configurations were optimized based on the multi-objective function

and the errors of each strut and the upper (lower) hinges were distributed by the optimization algorithm. A kinematic model and a static flexibility model for the Hexapod platform were established

and the influences of main structure parameters on the mechanism performance were analyzed. Then

the positioning accuracy and anti-deformation indexes were put forward. By using the structural parameters as variables

the optimization functions were established

and two single-objective functions were optimized by the genetic algorithm. At the same time

a unified constraint function of weight factor was constructed

and the multi-objective function was also optimized by the genetic algorithm. Afterwards

a nonlinear optimized error distribution model was established

and it was used to distribute the errors for each strut and the upper (lower) hinges. Finally

by testing the performance indexes of a prototype

the efficiency of the proposed method was verified. The research results after optimization show that the positioning accuracy and the anti-deformation capacity are improved by 8.3% and 62.5%

respectively. The upper and lower hinge error bounds increase from 2.7

m to 6.3

and each strut error bound increases from 1.3

m to 3.2

m. Moreover

the relative positing accuracy and the static stiffness of

axis are 0.6% and 41.14 N/

respectively. The research in this paper improves the positioning accuracy and anti-deformation ability

and saves the design cycles and processing costs.

关键词

Keywords

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