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翼伞系统雀降性能及控制研究 总被引:1,自引:0,他引:1
根据翼伞系统的动力学方程,建立六自由度运动模型。对翼伞系统雀降过程进行仿真,分析了操纵方式对雀降性能的影响。在归航过程中着陆阶段的特定情况下,针对航迹跟踪过程中产生的纵向偏差,设计PID控制器对偏差进行修正。仿真结果表明:所设计的控制器简单有效地消除了纵向的偏差,保证了雀降操纵的顺利实施。 相似文献
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空域复杂度评估作为衡量空域运行态势、管制员工作压力的关键手段,是运行调控的基础。由于影响因素众多,不同因素间耦合关联复杂,且标定样本很难获取,空域复杂度的准确评估被公认为航空领域的一个挑战性问题。提出了一种空域复杂度的无监督评估方法。首先通过核主成分分析挖掘原始样本各维度的非线性耦合关系,准确提取能够最大化复杂度评估信息量的主成分,进一步设计了可按需定制的主成分聚类方法,实现了无监督条件下空域复杂度的准确评估,为空域划分、流量管理提供了有效的技术支撑。 相似文献
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Containment of soft wall casing wrapped with Kevlar fabric 总被引:3,自引:0,他引:3
Aramid fabrics have been commonly used in the civil turbofan engine fan blade containment system for its excellent performance. To investigate the behavior and capability of soft wall containment casing, a series of fan blade released tests were conducted on the high-speed spin tester.The soft wall casing was fabricated by wrapping multiple layers of Kevlar49 plain woven fabric around a thin steel ring. Casings with different inner metal ring and outer fabric layers number were compared. The method of using the explicit dynamic software LS-DYNA to establish the finite element analysis model for the quantitative analysis of the containment process was developed and conducted. The simulation results are in good agreement with the test results. It is shown that the containment process of the soft wall casing can be divided into three impact stages. The casing with low-stiffness inner metal ring will get severe overall deformation and lose the structural integrity when it suffers the blade impact. Kevlar fabric layers will appear large bulge on outside surface and absorb the most impact dynamic energy of the high speed released fan blade. By summing up the results of the test and simulation, an empirical critical equation was derived to describe the relationship between the released blade dynamic energy and the Kevlar fabric thickness. 相似文献
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This paper addresses the problem of real-time object tracking for unmanned aerial vehicles. We consider the task of object tracking as a classification problem. Training a good classifier always needs a huge number of samples, which is always time-consuming and not suitable for realtime applications. In this paper, we transform the large-scale least-squares problem in the spatial domain to a series of small-scale least-squares problems with constraints in the Fourier domain using the correlation filter technique. Then, this problem is efficiently solved by two stages. In the first stage, a fast method based on recursive least squares is used to solve the correlation filter problem without constraints in the Fourier domain. In the second stage, a weight matrix is constructed to prune the solution attained in the first stage to approach the constraints in the spatial domain. Then, the pruned classifier is used for tracking. To evaluate proposed tracker's performance, comprehensive experiments are conducted on challenging aerial sequences in the UAV123 dataset. Experimental results demonstrate that proposed approach achieves a state-ofthe-art tracking performance in aerial sequences and operates at a mean speed of beyond 40 frames/s. For further analysis of proposed tracker's robustness, extensive experiments are also performed on recent benchmarks OTB50, OTB100, and VOT2016. 相似文献