基于k-means聚类熵权评价的飞行器质心调整优化方法  

Optimization Method of Aircraft Centroid Adjustment based on k-means Clustering Entropy Weight Evaluation

作　　者：田小川 郁立勇 白斌[1] 陈思 何文凯 TIAN Xiaochuan;YU Liyong;BAI Bin;CHEN Si;HE Wenkai(China Academy of Launch Vehicle Technology,Beijing,100076)

机构地区：[1]中国运载火箭技术研究院,北京100076

出　　处：《导弹与航天运载技术(中英文)》2025年第1期37-41,共5页Missiles and Space Vehicles

摘　　要：针对飞行器质心调整流程复杂、耗时长的问题,运用k-means聚类方法,对飞行器配重历史数据进行聚类,基于样本聚类结果,计算出不同样本下飞行器标准配重,再通过模拟装配计算增加标准配重后的飞行器质心偏移,并得出一系列统计数据,最后采用基于熵权的综合评价方法对比质心调整效果,选出最优的飞行器标准配重,进而简化飞行器质心调整流程,大幅提升飞行器生产效率。In response to the complex and time-consuming process of adjusting the center of gravity of aircraft,k-means clustering method is used to cluster the historical data of aircraft counterweight.Based on the clustering results of samples,the standard counterweight of aircraft under different samples is calculated.Then,the centroid offset of aircraft with standard counterweight is calculated through simulated assembly,and a series of statistical data are obtained.After that,the comprehensive evaluation method based on entropy weight is used to compare the results of centroid adjustment,and the optimal standard counterweight of aircraft is selected,thus simplifying the adjustment process of aircraft centroid and greatly improving the producting efficiency of aircraft.

关 键 词：K-MEANS 熵权评价模型 飞行器质心调整 聚类 

分 类 号：V42[航空宇航科学与技术—飞行器设计]