首页> 外文期刊>Journal of guidance, control, and dynamics >Validation of space net deployment modeling methods using parabolic flight experiment
【24h】

Validation of space net deployment modeling methods using parabolic flight experiment

机译:利用抛物线飞行实验验证空间网络部署建模方法

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

A parabolic flight experiment has been performed which allowed to compare with the simulations by two models: the mass-spring model and the absolute nodal coordinate formulation (ANCF) model. From the analysis of the absolute residual and the average relative residual between the simulations and the parabolic flight experiment results, it is concluded that, under a net configuration as shown in Fig. 1, both models are able to describe the movement of the bullets and the net movement along the traveling direction with an average relative residual error up to 15%. Moreover, the mass-spring model is superior in reflecting the movements of bullets along the traveling direction in comparison to the ANCF model. On the contrary, the ANCF model is superior to the mass-spring model in describing the dynamics of the inner knots of the net. This Note focuses only on the net deployment phase, whereas the following capturing movement is not discussed. The contact dynamics implemented in the ANCF net model and the validation of the capturing dynamics are expected in the future.
机译:进行了抛物线飞行实验,可以与两个模型的仿真进行比较:质量-弹簧模型和绝对节点坐标公式(ANCF)模型。通过对模拟和抛物线飞行实验结果之间的绝对残差和平均相对残差的分析,可以得出结论,在如图1所示的网络配置下,两个模型都能够描述子弹和弹头的运动。沿着行进方向的净运动,平均相对残余误差高达15%。此外,与ANCF模型相比,质量弹簧模型在反映子弹沿行进方向的运动方面更具优势。相反,在描述网的内部结的动力学方面,ANCF模型优于质量弹簧模型。本说明仅侧重于网络部署阶段,而以下讨论的捕获动作并未讨论。预计将来会在ANCF网络模型中实现接触动力学并验证捕获动力学。

著录项

  • 来源
    《Journal of guidance, control, and dynamics》 |2017年第12期|3315-3323|共9页
  • 作者单位

    Delft University of Technology, Faculty of Aerospace Engineering, Delft, Netherlands;

    Delft University of Technology, Faculty of Aerospace Engineering, Delft, Netherlands;

    Delft University of Technology, Faculty of Aerospace Engineering, Delft, Netherlands;

    SKA Polska, Warsaw, Poland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号