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Aircraft Robust Trajectory Optimization Using Nonintrusive Polynomial Chaos

机译：基于非侵入式多项式混沌的飞机鲁棒弹道优化

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摘要

The development of algorithms for aircraft robust dynamic optimization considering uncertainties (for example, trajectory optimization) is relatively limited compared to aircraft robust static optimization (for example, configuration shape optimization). In this paper, an approach for dynamic optimization considering uncertainties is developed and applied to robust aircraft trajectory optimization. In the present approach, the nortintrusive polynomial chaos expansion scheme is employed to convert a robust trajectory optimization problem with stochastic ordinary differential equations into an equivalent deterministic trajectory optimization problem with deterministic ordinary differential equations. Two computational strategies for trajectory optimization considering uncertainties are compared. The performance of the developed method is studied by considering a classical deterministic trajectory optimization problem of supersonic aircraft short-time climb with uncertainties in the aerodynamic data. Detailed numerical studies are presented to illustrate the computational features of the proposed approach.
机译：与飞机鲁棒性静态优化（例如，外形优化）相比，考虑不确定性（例如轨迹优化）的飞机鲁棒性动态优化算法的开发相对有限。本文提出了一种考虑不确定性的动态优化方法，并将其应用于鲁棒飞机轨迹优化。在本方法中，采用正则多项式混沌扩展方案将具有随机常微分方程的鲁棒轨迹优化问题转换为具有确定性常微分方程的等效确定性轨迹优化问题。比较了考虑不确定性的两种轨迹优化计算策略。通过考虑具有气动数据不确定性的超音速飞机短时爬升的经典确定性轨迹优化问题，研究了该方法的性能。进行了详细的数值研究，以说明所提出方法的计算特征。

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  • 来源
    《Journal of Aircraft》 |2014年第5期|1592-1603|共12页
  • 作者

    Li Xiang; Nair Prasanth B.; Zhang ZhiGang; Gao Lin; Gao Chen;

  • 作者单位

    Beijing Inst Technol, Sch Aerosp Engn, Beijing 100081, Peoples R China;

    Univ Toronto, Inst Aerosp Studies, Toronto, ON M5R 0A3, Canada;

    Xian Aircraft Ind Grp Co Ltd, Ctr Res & Dev, Xian, Shaanxi Provinc, Peoples R China;

    Univ Toronto, Inst Aerosp Studies, Toronto, ON M5R 0A3, Canada;

    Univ Toronto, Inst Aerosp Studies, Toronto, ON M5R 0A3, Canada;

  • 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
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