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Geometrical Vertical Trajectory Optimization – Comparative Performance Evaluation of Phase versus Phase and Altitude-Dependent Preferred Gradient Selection

机译：几何垂直轨迹优化–相位，相位和高度相关的首选坡度选择的比较性能评估

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This paper presents a comparative analysis of the results of two vertical flight trajectory optimization strategies, obtained using a new geometrical trajectory optimization algorithm developed at the Laboratory of Applied Research in Active Controls, Avionics and AeroServoElasticity LARCASE. The first strategy geometrically constructs the vertical flight trajectory as function of the along-the-track distance and altitude constraints associated with each way point in the flight plan, and a preferred gradient value described as a function of the flight phase and altitude. The second strategy employs a preferred gradient value dependent only on the flight phase. The optimization criterion is represented by the minimization of the total number of climb, horizontal, and descent trajectory segments. The comparison of the optimized trajectories generated using the two strategies are performed relative to the number of trajectory segments and their gradient values. The novelty and the advantage of the presented algorithm is the fact that it allows the construction of an optimal vertical flight trajectory without performing time and resources-intensive computations employing an aircraft performance model.
机译：本文对两种垂直飞行轨迹优化策略的结果进行了比较分析，这些策略是使用在主动控制，航空电子和AeroServoElasticity LARCASE应用研究实验室开发的一种新的几何轨迹优化算法获得的。第一种策略在几何上构造了垂直飞行轨迹，作为与飞行计划中每个航路点相关的沿航迹距离和高度约束的函数，以及根据飞行阶段和海拔高度描述的优选坡度值。第二种策略采用仅取决于飞行阶段的优选梯度值。优化标准以爬升，水平和下降轨迹段总数的最小表示。相对于轨迹段的数量及其梯度值，执行了使用两种策略生成的优化轨迹的比较。所提出的算法的新颖性和优点在于，它可以构建最佳的垂直飞行轨迹，而无需执行使用飞机性能模型的时间和资源密集型计算。

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