面向光路准直的多元件位姿误差分配方法
By using Markov chain optimization algorithm and multi-element pose error allocation method, the problem of inaccurate error allocation in optical element error analysis using Monte Carlo method is solved, the optical path performance is improved, the error allocation of optical elements is optimized, and the collimation and overall performance of the optical path are enhanced.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGGUANG SATELLITE TECH CO LTD
- Filing Date
- 2025-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing Monte Carlo methods cannot accurately allocate errors in optical component error analysis, resulting in poor improvement of optical path performance and failing to reflect actual conditions.
By building a mathematical model, using Markov chain optimization algorithm and multi-element pose error allocation method, combined with Monte Carlo method, the pose error distribution of optical elements is optimized to achieve uniform error distribution and sensitivity assessment. Local optima prevention and weight factor measures are adopted to adjust error conditions to improve optical path collimation.
With limited manufacturing and assembly costs, improve optical path performance, optimize the error distribution of optical components, achieve the most relaxed error conditions, and improve the overall performance of the optical path.
Smart Images
Figure CN120427232B_ABST