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基于状态空间模型的航天器装配角偏误差研究
引用本文:李欣,于乃辉,曹玉君,张志雄,尚建忠.基于状态空间模型的航天器装配角偏误差研究[J].国防科技大学学报,2014,36(1):104-109 ,115.
作者姓名:李欣  于乃辉  曹玉君  张志雄  尚建忠
作者单位:国防科技大学 机电工程与自动化学院 机械设计教研室,国防科技大学 机电工程与自动化学院 机械设计教研室
基金项目:国家自然科学基金项目(51175505);国家部委级预先研究项目(51318010406)
摘    要:装配过程的误差建模是分析装配误差的重要手段之一。通过分析影响航天器装配结果的尺寸和形位误差、装夹定位误差,将其装配的偏差源分为夹具装夹误差和舱段制造误差两类。并将不同形式的误差通过虚拟夹具的概念进行了统一的表达,进而基于误差流理论针对航天器舱段建立其误差传播的状态空间模型,求出了该过程的状态空间表达式,应用该模型对装配过程中的角偏误差进行了分析。将分析得到的结果同蒙特卡洛仿真的结果进行了比较,两种方法的相对误差小于3%,说明了该方法的可行性。该方法的优势在于它不仅可以分析复杂装配过程,还可以对各工位的装配效果进行观测,从而进行向后分析。

关 键 词:虚拟夹具  误差流  状态空间模型  角偏误差
收稿时间:2013/4/18 0:00:00
修稿时间:6/7/2013 12:00:00 AM

Angular Variation Analysis of Spacecraft Assembly Based on State Space Model
LI Xin,YU Naihui,CAO Yujun,ZHANG Zhixiong and SHANG Jianzhong.Angular Variation Analysis of Spacecraft Assembly Based on State Space Model[J].Journal of National University of Defense Technology,2014,36(1):104-109 ,115.
Authors:LI Xin  YU Naihui  CAO Yujun  ZHANG Zhixiong and SHANG Jianzhong
Institution:1.College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China;1.College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China;1.College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China;2.College of Continuing Education, National University of Defense Technology, Changsha 410073, China;1.College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China
Abstract:Variation modeling is one of the most important tool for assembly variation analysis. Considering dimension and geometric precision, and part situation precision, the deviation source that affects assembly accuracy is clustered into two types: deviation of geometric location and orientation, variation of geometric form. And unify these different types of variation or deviation by Virtual Fixture. So a 3D rigid assembly state space modeling technique is developed for stream of variation analysis (SOVA) in multi-station processes. And a-missile-cabin-assembly process is analyzed in this model. It enhances the applicability in modeling complex assemblies. The developed methodology outperforms the current simulation based techniques in computation efficiency, not only in forward analysis of complex assembly systems, but it is also more powerful in backward analysis. The model is validated using Monte Carloseries Simulations.
Keywords:Virtual Fixtures  Stream of Variation  State Space Model  Angular Variation
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