%0 Journal Article
%T 基于状态空间模型的飞行器角误差控制
%A 宁丹峰
%A 陈万春
%A 杨明辉
%A 孙燕洁
%J 东北大学学报（自然科学版）
%D 2017
%R 10.12068/j.issn.1005-3026.2017.10.011
%X 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.</br>Abstract：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.
%K 状态空间模型
%K 飞行器
%K 装配
%K 蒙特卡罗仿真
%K 误差控制&lt
%K /br&gt
%K Key words： state space model vehicle assembly Monte Carlo simulation variation control
%U http://xuebao.neu.edu.cn/natural/CN/abstract/abstract10355.shtml