| 引用本文: | 黄浩,丰志伟,葛建全,等.高超声速飞行器低可探测性滑翔弹道优化方法.[J].国防科技大学学报,2019,41(5):16-23.[点击复制] |
| HUANG Hao,FENG Zhiwei,GE Jianquan,et al.Low observable glide trajectory optimization method for hypersonic vehicle[J].Journal of National University of Defense Technology,2019,41(5):16-23[点击复制] |
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| 高超声速飞行器低可探测性滑翔弹道优化方法 |
| 黄浩, 丰志伟, 葛建全, 杨涛, 许强强 |
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(国防科技大学 空天科学学院， 湖南 长沙 410073)
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| 摘要: |
| 为进一步提高高超声速飞行器的突防性能，提出高超声速飞行器低可探测性滑翔弹道优化方法。考虑飞行器180°×360°方向的雷达散射截面，针对原数据尖峰多、收敛难的难题，运用高斯滤波法对其进行预处理，既不改变原数据趋势又加以平滑，提高优化问题收敛性能。为使计算所用雷达散射截面数据具备较强的保真性，采用三次样条插值方法调用离散数据计算实时雷达散射截面。完成了高超声速飞行器低可探测性滑翔弹道优化问题的建模，以探测概率为目标函数，运用hp自适应Radau伪谱法优化求解，采用逐步计算策略进一步提高优化效率和收敛性能。与传统最短飞行时间弹道对比表明，该方法有效降低了飞行器被雷达发现的概率。 |
| 关键词: 雷达散射截面 低可探测 滑翔弹道优化 自适应伪谱法 |
| DOI：10.11887/j.cn.201905003 |
| 投稿日期：2018-07-16 |
| 基金项目:航空科学基金资助项目（2016ZA88003）；中国运载火箭技术研究院高校联合创新基金资助项目(CALT201702) |
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| Low observable glide trajectory optimization method for hypersonic vehicle |
| HUANG Hao, FENG Zhiwei, GE Jianquan, YANG Tao, XU Qiangqiang |
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(College of Aeronautics and Astronautics, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| In order to further improve the penetration ability of hypersonic vehicle, the low-observable glide trajectory optimization method for hypersonic vehicle was proposed. The radar cross section of 180°×360° direction of the aircraft was considered. The Gaussian filtering method was used to smoothing the original data, which was characterized by many spikes. This can improve the convergence of optimization problems without changing the trend of the original data. In order to enable the RCS (radar cross section) data to have strong fidelity, the cubic spline interpolation method was used to call the discrete data. The modelling of the low detectable glide trajectory optimization problem of hypersonic vehicle was completed. Setting the radar detection probability as the objective function, the hp adaptive Radau pseudo-spectral method was used to solve the problem. The stepwise calculate strategy was adopted to further improve the optimization efficiency and convergence performance. Simulation results show that when compared with the trajectory who takes the shortest flight time as the goal, the given method can effectively reduce the radar detection probability. |
| Keywords: radar cross section low detectable glide trajectory optimization adaptive pseudo-spectral method |
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