摘要
针对飞行器装配角误差过程控制问题,提出了基于状态空间模型的逐步最小化角误差法及全局最小化最终角误差法,并与直接装配法进行了对比.研究结果表明:直接装配法角误差服从莱斯分布并逐渐增加;逐步最小化角误差法和全局最小化最终角误差法角误差服从广义极值分布,逐步最小化角误差法不受装配零件个数的影响,全局最小化最终角误差法角误差均值与标准差均随零件增加收敛于0.
Minimized angular variation stage- by-stage method (MAVSM) and minimized the final angle variation method (MFAVM) were proposed based on the state space model for vehicle assembly, and compared with the direct assembly method (DAM). The results showed that the angular variation of DAM follows the Rice distribution, and increases with the stage. The MAVSM and MFAVM follow generalized extreme value distribution. MAVSM is not affected by the stage,but the mean and standard deviation of angle variation decrease with the stage and converge at 0 for MFAVM.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2017年第10期1421-1425,共5页
Journal of Northeastern University(Natural Science)
基金
国家基础预研项目(51318010406)
关键词
状态空间模型
飞行器
装配
蒙特卡罗仿真
误差控制
state space model
vehicle
assembly
Monte Carlo simulation
variation control