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Multi-Objective Re-entry Trajectory Optimization based on the Physical Programming Method for Hypersonic Gliding Vehicle

机译:基于高超声速滑动车辆物理规划方法的多目标重新进入轨迹优化

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Re-entry trajectory optimization is a key step in the scheme planning of the hypersonic gliding vehicle. The problem of multi-objective re-entry trajectory optimization is usually solved by the weighted summary method (WSM). However, it is difficult to obtain the non-convex Pareto non-inferior solution. To overcome this problem, the trajectory optimization is established with the physical programming (PP) method, which is capable to obtain solution with less computational intensity and reflect the designer's preference. Taking a hypersonic gliding vehicle as a numerical example, the numerical simulation considers five objectives: maximum terminal velocity, maximum range, minimum peak value of heating rate, and minimum oscillation. In addition, Gauss pseudo spectral method can accurately satisfy variable constraints. Performance of PP-based re-entry trajectory optimization is demonstrated in 3-D nonlinear dynamics scenario. The numerical simulation results show that it can easily realize and improved the performance of the hypersonic gliding vehicle. The research has certain engineering application value.
机译:重新进入轨迹优化是超声波滑动车辆方案规划的一个关键步骤。多目标重新进入轨迹优化的问题通常由加权摘要方法(WSM)解决。但是,难以获得非凸帕翼非劣质解决方案。为了克服这个问题,用物理编程(PP)方法建立了轨迹优化,该方法能够获得具有较少计算强度的解决方案并反映设计者的偏好。采用超声波滑动车辆作为数值示例,数值模拟考虑了五个目的:最大终端速度,最大范围,加热速率的最小峰值,以及最小振荡。此外,高斯伪光谱方法可以准确地满足可变约束。基于PP的重新进入轨迹优化的性能在3-D非线性动力学方案中展示。数值模拟结果表明,它可以容易地实现和提高超声波滑动车辆的性能。该研究具有一定的工程应用价值。

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