首页|助推滑翔变体飞行器弹道方案多目标近似优化

助推滑翔变体飞行器弹道方案多目标近似优化

扫码查看
原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
针对助推滑翔变体飞行器弹道方案最优变形求解难、多设计指标相互矛盾等问题,开展助推滑翔变体飞行器弹道方案多目标设计优化研究.首先构建了助推滑翔变体飞行器全程弹道方案优化框架,通过内外层分别优化控制参数及弹道方案参数,并建立了以起飞质量最小、射程最大为优化目标的弹道方案多目标优化模型.在弹道建模中,基于牛顿迭代法建立助推段弹道模型,基于伪谱法建立最优变体再入滑翔段弹道模型.此外,提出了基于差分进化的多目标近似约束优化方法(MACO-DE),实现助推滑翔变体飞行器弹道方案优化.对比初始方案,在射程不变情况下,起飞质量至多降低3.81%,在起飞质量不变情况下,射程至多提升6.62%,从而验证了全程弹道模型的合理性与MACO-DE方法的有效性.
Multi-objective Approximate Optimization for the Boost-glide Morphing Flight Vehicle Trajectory Scheme
Aiming at the problems such as the difficulty in optimizing morphing and the contradiction of multiple design objectives,the multi-objective approximate optimization for the boost-glide morphing flight vehicle trajectory scheme is studied.First,the optimization framework of an all-course trajectory scheme for boost-glide morphing flight vehicles is proposed,and the control parameters and trajectory scheme parameters are optimized through the inner and outer layers,respectively.Then,a multi-objective optimization model is formulated for the trajectory scheme that optimizes a target with the minimum takeoff mass and the maximum flight range.In the trajectory modeling,the boost stage trajectory model is constructed based on the Newton iteration method,and the optimal morphing model of reentry glide stage trajectory is established based on the pseudo-spectral method.Furthermore,a multi-objective approximate constrained optimization method based on differential evolution(MACO-DE)is proposed to optimize the boost-glide morphing flight vehicle trajectory scheme.Compared with the initial scheme,the take-off mass can be reduced by 3.81%at the same flight range,and the flight range can be improved by 6.62%at the same take-off mass,which demonstrates the reasonability of the all-course trajectory scheme and the effectiveness of the MACO-DE.

boost-glide morphing flight vehicleall-course trajectorytrajectory optimizationmulti-objective optimizationapproximate optimization

翟艺云、龙腾、刘震宇、史人赫、叶年辉

展开 >

北京理工大学 宇航学院,北京 100081

北京理工大学 飞行器动力学与控制教育部重点实验室,北京 100081

北京机电工程总体设计部,北京 100039

北京理工大学 重庆创新中心,重庆 401120

展开 >

助推滑翔变体飞行器 全程弹道 弹道优化 多目标优化 近似优化

国家自然科学基金国家自然科学基金国家自然科学基金北京市自然科学基金

5227236052005288522320143222019

2024

10.19328/j.cnki.2096-8655.2024.03.012

上海航天(中英文)
上海航天技术研究院

上海航天(中英文)

CSTPCD
影响因子：0.166
ISSN：2096-8655
年,卷(期)：2024.41(3)