A flight time performance optimization method integrating climb-cruise-descent as a whole

Abstract

The present invention provides a flight time performance optimization method integrating climb-cruise-descent as a whole, the steps are: through the analysis of the cruise performance under a single weight, select the optimal flight time cruise strategy; integrate the climb and level flight performance data in the climb interval Optimized to obtain the optimal flight time climbing strategy; optimize the descending and level flight performance data in the descending interval to obtain the optimal flight time descending strategy; obtain the fuel consumption of the climbing section and the descending section by accumulating the fuel consumption in the climbing section and the descending section respectively Pressing forward and backward, calculate the fuel volume of the cruising section, then divide different fuel volume intervals, optimize the voyage time of the entire cruising section, and obtain the voyage time of the optimal cruising strategy; respectively, by accumulating the flight time of the climbing interval and the descending interval , to get the voyage time of the entire climb segment and descent segment; the optimal voyage time of the entire flight profile is obtained by adding up the flight time of the climb segment, cruise segment and descent segment.

Description

technical field [0001] The present invention relates to the field of aviation technology, especially the technical field of flight time allocation planning Background technique [0002] At present, the biggest function of drones in the military field is reconnaissance, and the premise of reconnaissance is ultra-high flight time performance, that is, the ability to stand by in the air. A typical airtime flight profile includes three main mission segments: climb, cruise, and descent. Among them, cruising is divided into cruising segments with different weights. In order to achieve ultra-long voyage performance indicators, researchers have conducted comprehensive and in-depth research. For example, Zhang Yunfei proposed to adopt the flight strategy of changing attitude and speed when cruising at the same altitude to achieve the maximum flight time (Zhang Yunfei, Luo Xun, Xiang Jinwu, etc. Calculation of flight range and flight time of propeller aircraft at constant altitude[J...

AI Technical Summary

Problems solved by technology

However, the flight time of climbing, cruising and descending is not a small amount in the flight profile of the optimal flight time. If we only pursue the optimization of a single task segment, it will inevitably lead to local optimum, and cause shortcomings and deficiencies in other stages.

At the same time, the cruising segment occupies the vast majority of the entire voyage flight profile. If you choose the same speed for cruising, it is easy to fall into local optimization.

Therefore, considering only single or non-integral multiple mission segments is not enough to obtain optimal airtime performance

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