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Optimization of the vertical flight profile on the flight management system for green aircraft

机译：绿色飞机飞行管理系统垂直飞行的优化

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To reduce aircraft’s fuel consumption, a new method to calculate flight trajectories to be implemented in commercial Flight Management Systems has been developed. The aircraft’s model was obtained from a flight performance database, which included experimental flight data. The optimized trajectories for three different commercial aircraft have been analyzed and developed in this thesis.ududTo obtain the optimal flight trajectory that reduces the global flight cost, the vertical and the LNAV profiles have been studied and analyzed to find the aircraft’s available speeds, possible flight altitudes and alternative horizontal trajectories that could reduce the global fuel consumption. A dynamic weather model has been implemented to improve the precision of the algorithm. This weather model calculates the speed and direction of wind, and the outside air temperature from a public weather database.ududTo reduce the calculation time, different time-optimization algorithms have been implemented, such as the Golden Section search method, and different types of genetic algorithms. The optimization algorithm calculates the aircraft trajectory considering the departure and arrival airport coordinates, the aircraft parameters, the in-flight restrictions such as speeds, altitudes and WPs. The final output is given in terms of the flight time, fuel consumption and global flight cost of the complete flight.ududTo validate the optimization algorithm results, the software FlightSIM® has been used. This software considers a complete aircraft aerodynamic model for its simulations, giving results that are accurate and very close to reality.
机译：为了减少飞机的燃油消耗，已经开发了一种新的计算飞行轨迹的方法，该方法将在商业飞行管理系统中实施。该飞机的模型是从飞行性能数据库中获得的，该数据库包括实验飞行数据。本文对三种不同商用飞机的优化轨迹进行了分析和开发。 ud ud为了获得降低全球飞行成本的最优飞行轨迹，对垂直和LNAV曲线进行了研究和分析，以找到飞机的可用速度，可能的飞行高度和可降低全球燃料消耗的替代水平轨迹。动态天气模型已实现，以提高算法的精度。该天气模型通过公共天气数据库计算风速和风向以及外界气温。 ud ud为了减少计算时间，已实现了不同的时间优化算法，例如黄金分割搜索方法，并且遗传算法的类型。优化算法会考虑出发和到达机场的坐标，飞机参数，飞行中的限制条件（例如速度，高度和WP）来计算飞机的轨迹。最终输出以完整飞行的飞行时间，燃油消耗和全球飞行成本给出。 ud ud为了验证优化算法的结果，已使用了FlightSIM®软件。该软件在其仿真中考虑了完整的飞机空气动力学模型，从而得出了准确且非常接近实际的结果。

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