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Multi-objective optimization of reentry trajectory for Hypersonic Gliding Vehicle

机译:高超音速滑行车再入弹道的多目标优化

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Aiming at the reentry trajectory optimization characters of the Hypersonic Gliding Vehicle, the three degree-of-freedom kinetic model and aerodynamic model are built. The fundamental process of solving multi-objective optimization with physical programming is introduced, and the aim of advanced ameliorative measure is the operation characters of pseudospectral method. Considering multi-constraints of normal load, dynamic pressure, head point heat etc., hp adaptive pseudospectral method is used to solve the optimization problem of glide reentry trajectory, in which four objectives are taken into consideration: minimum time, maximum crossrange, minimum aerodynamic heating and minimum peak value of heating rate. The physical programming framework and preference structure are determined by analyzing the results of single objective optimization. Multi-objective optimization of trajectory which represented the preference of deviser is simulated by applying hp adaptive pseudospectral method in the physical programming frame. Comparison and analysis between the results are made to provide reference for reentry trajectory design for gliding vehicles.
机译:针对高超声速滑行飞行器的再入轨迹优化特性,建立了三自由度动力学模型和空气动力学模型。介绍了用物理程序求解多目标优化的基本过程,高级改进措施的目的是伪谱方法的操作特性。考虑到正常载荷,动压力,扬程热量等多约束条件,采用hp自适应伪谱方法解决滑行折返弹道的优化问题,其中考虑了四个目标:最短时间,最大跨距,最小气动加热和加热速率的最小峰值。通过分析单目标优化的结果来确定物理编程框架和偏好结构。通过在物理程序设计框架中应用hp自适应伪谱方法,对代表设计者偏好的轨迹进行多目标优化。对结果进行比较和分析,为滑行车辆的再入轨迹设计提供参考。

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