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Multi-Objective Hypersonic Entry Aeroshell Shape Optimization

机译:多目标超音速进入机壳形状优化

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摘要

A framework has been developed to identify hypersonic entry aeroshell shapes that are Pareto-optimal withnrespect tomultiple conflicting objectives. The objectives and constraints are derived fromthe aeroshell geometry andnaerodynamic performance. Shapes are parameterized using nonuniform rational B-splines for maximum designnflexibility. Hypersonic aerodynamic objectives and constraints are based on rapid predictions obtained fromnNewtonian flow theory. Single- and multi-objective genetic algorithms are employed for optimization. Thisnframework has been applied to the Mars Science Laboratory mission to quantify tradeoffs inherent to blunt-bodynaeroshells.Lift-to-drag ratio, volume, and size constraintswere derived fromthe 70-degree sphere-cone aeroshell fornthismission, and aeroshell shapes were optimized based on three conflicting objectives: drag area, longitudinal staticnstability, and volumetric efficiency. First, single-objective optimization revealed the extreme designs for thisnobjective space. Next, two-objective optimization produced Pareto fronts of compromise designs that illustrate thentradeoffs among each pair of objectives. Finally, a three-objective optimization provided Pareto-optimal designs thatnoffer simultaneous improvement in all three objectives relative to the baseline 70-degree sphere-cone aeroshell.
机译:已经开发出一种框架来识别高超声速进入的航空器形状,该形状是帕累托最优的,而不涉及多个冲突目标。目标和约束条件是从机壳几何形状和气动性能得出的。使用非均匀有理B样条对形状进行参数化,以实现最大的设计灵活性。高超音速空气动力学目标和约束条件基于从牛顿流理论获得的快速预测。采用单目标和多目标遗传算法进行优化。该框架已应用于火星科学实验室的任务,以量化钝体机身固有的权衡取舍。从70度球面圆锥形机身的这一推导得出举升比,体积和尺寸约束,并基于三个方面对机身形状进行了优化冲突的目标:阻力区域,纵向静态稳定性和体积效率。首先,单目标优化揭示了该目标空间的极端设计。接下来,两目标优化产生了折衷设计的Pareto前沿,说明了各对目标之间的折衷。最终,三目标优化提供了帕累托最优设计,相对于基线70度球锥机身,这三个目标均无法同时得到改善。

著录项

  • 来源
    《Journal of Spacecraft and Rockets》 |2009年第5期|p.929-937|共9页
  • 作者

    John E. Theisinger;

  • 作者单位

    Georgia Institute of Technology, Atlanta, Georgia 30332-0150;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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