摘要
位姿拟合是飞机大部件调姿对合的核心环节之一,所采用的算法直接影响调姿对合的精度和效率。由于飞机部件不可避免地存在装配误差,并且不同区域调姿基准点的精度要求通常也存在差异,传统的奇异值分解法不能保证全部基准点都满足精度要求。加权奇异值分解法能够通过提高公差要求低的基准点的转换残差,来保证公差要求严格的基准点的转换精度,但权重如何准确分配仍缺乏有效的手段。针对以上问题,提出一种基于粒子群优化结合加权奇异值分解的位姿计算方法,利用粒子群优化算法搜索调姿基准点的权重值,保证每个基准点的转换残差均满足精度要求。通过在飞机数字化装配中的应用分析,验证了算法的有效性。
Posture and position computation is a key part for aligning and joining large aircraft component,which makes significant impacts on accuracy and efficiency.Due to the assembly errors of the aircraft components and the different accuracy requirements of the datum points,the traditional Singular Value Decomposition(SVD)method is usually invalid.Weighted Singular Value Decomposition(WSVD)method can improve the accuracy of the points with higher tolerance requirements by sacrificing the points with lower requirements.However,how to assign weights to the points is still a problem.A method based on Particle Swarm Optimization(PSO)and WSVD is proposed in this paper to solve this problem.The weights of the points is searched by PSO method to assure the transformation residue of each datum point meets its tolerance requirements.Through the application of aircraft digital assembly,the validity of the method was verified.
作者
何晓煦
雷沛
潘登
杨阳
李现坤
邓珍波
HE Xiaoxu;LEI Pei;PAN Deng;YANG Yang;LI Xiankun;DENG Zhenbo(Chengdu Aircraft Industrial(Group)Co.Ltd,Chengdu 610092,China;Sichuan Aviation Intelligent Manufacturing Equipment Engineering Technology Research Center,Chengdu 610092,China)
出处
《航空学报》
EI
CAS
CSCD
北大核心
2023年第7期295-304,共10页
Acta Aeronautica et Astronautica Sinica
关键词
飞机装配
部件调姿
位姿拟合
加权奇异值分解
粒子群优化
aircraft assembly
component alignment
posture and position computation
weighted singular value decomposition
particle swarm optimization
