摘要: |
以通信卫星太阳翼及天线接口组合加工领域为研究背景,分析了当前加工方法的弊端。首先基于图元分析,对加工过程进行增强模拟,利用空间坐标系转换原理构建加工坐标系与卫星坐标系的转移矩阵,实现加工策略的整体输出。在路径规划方面,提出了“一种基于聚类算法的加工路径规划方案”,通过随机初始化聚类中心、“距离”判断、自动分类、矢量长度累积求和等一系列流程,实现了最优加工路径的规划。在该方法中,加工路径与迁移路径均由计算机规划,减少了人工干预,提高了效率与预测的准确度。为后续实现智能化、自动化奠定了理论基础。该方法在卫星型号上得到验证,加工精度达到国内先进水平。 |
关键词: 通信卫星 图元分析 聚类算法 路径规划 |
基金项目: |
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A Satellite Combined Processing Technology Based on Clustering Algorithm |
Zang Ziyi Cheng Ze Cai Zhaoyang
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Beijing Satellite Manufacturing Co., Ltd., Beijing 100094
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Abstract: |
Based on the research background of the combined processing field of communication satellite solar wing and antenna interface, this paper analyzes the shortcomings of current processing methods. Firstly, based on the analysis of graphic elements, the machining process is enhanced and simulated, and the transition matrix between the machining coordinate system and the satellite coordinate system is constructed using the principle of space coordinate system conversion to realize the overall output of the machining strategy. In terms of path planning, this paper proposes “a processing path planning scheme based on clustering algorithm”, which achieves the optimal processing path planning through a series of processes such as random initialization of cluster centers, “distance” judgment, automatic classification, and vector length cumulative summation. In this method, both the processing path and the migration path are planned by the computer, which reduces manual intervention and improves the efficiency and accuracy of prediction. It laid a theoretical foundation for the subsequent realization of intelligence and automation. This method has been verified on the satellite model, and the processing accuracy has reached the domestic advanced level. |
Key words: communication satellite image element analysis clustering algorithm path planning |