Near-Optimal Control for Aircraft Conflict Resolution in the Presence of Uncertainty
Near-Optimal Control for Aircraft Conflict Resolution in the Presence of Uncertainty
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DOI：
10.2514/1.g001227
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发表时间：
2016-02
影响因子：
2.6
通讯作者：
Yoshinori Matsuno;T. Tsuchiya;N. Matayoshi
中科院分区：
文献类型：
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作者：
Yoshinori Matsuno;T. Tsuchiya;N. Matayoshi
提出了一种随机近最优控制方法，用于实时确定存在不确定性的飞机冲突消解轨迹。提出了一种基于多项式混沌展开和伪谱方法的飞机冲突消解随机最优控制方法。这种随机最优控制方法被扩展到实时生成冲突解决轨迹，而不需要实际求解计算量大的随机最优控制问题。所提出的近最优冲突解决算法是基于最近发展的称为多项式混沌克里金的代理建模技术，该技术用于从一组预计算最优解中构建最优冲突解决轨迹的代理模型。利用当前条件(例如，当前状态)的信息，可以从代理模型中实时准确地生成接近最优的冲突解决轨迹。所以..。
In this paper, a stochastic near-optimal control method is proposed for determining aircraft conflict-resolution trajectories in the presence of uncertainty in real time. The prior work developed a stochastic optimal control method for aircraft conflict resolution based on the polynomial chaos expansion and pseudospectral methods. This stochastic optimal control method is extended to generate conflict-resolution trajectories in real time without actually solving the computationally expensive stochastic optimal control problems. The proposed near-optimal conflict-resolution algorithm is based on a recently developed surrogate modeling technique called polynomial chaos kriging, which is used to construct the surrogate models of the optimal conflict-resolution trajectories from a set of precomputed optimal solutions. The near-optimal conflict-resolution trajectories can be accurately generated in real time from the surrogate models with the information of current conditions (for example, current states). Thr...