空转推力下降的飞行管理系统预测与执行

L. Stell
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引用次数: 20

摘要

为了使到达的飞机能够在拥挤的空域进行由飞行管理系统(FMS)计算的优化下降,地面自动化必须准确预测下降轨迹。为了支持预测器及其不确定性模型的开发,从巡航到仪表定位的下降在B737-700模拟器中执行,该模拟器使用商用FMS使用垂直导航。FMS计算出在给定速度剖面下,在降顶后假设怠速推力情况下的预期下降路径,然后在没有人为干预的情况下控制航空电子设备。测试矩阵改变了飞机重量、下降速度和风力条件。本文首先分析了试验矩阵参数对TOD FMS计算的影响。增加1万磅的重量会使TOD偏离仪表定位4.5海里,增加25节的顺航迹风会使TOD偏离4.6海里,将下降速度从250 KCAS改变为320 KCAS会使TOD偏离25海里。通过将模拟器状态数据与指定速度剖面和FMS预测相比较,分析了下降的执行情况。FMS通常准确地飞行其预测的三维轨迹,高度误差小于200英尺。如果速度低于目标速度15 KCAS,它会使用油门,但允许速度任意增加到目标以上,除非它达到性能限制。在下降速度过慢但风速条件正确的运行中,FMS仪表固定到达时间预测误差高达37秒。在达到目标下降速度的情况下,沿轨风误差为25 kt,导致仪表固定到达时间误差约为30秒。该分析的数据用于估计地面自动化系统的精度要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flight management system prediction and execution of idle-thrust descents
To enable arriving aircraft to fly optimized descents computed by the flight management system (FMS) in congested airspace, ground automation must accurately predict descent trajectories. To support development of the predictor and its uncertainty models, descents from cruise to the meter fix were executed in a B737-700 simulator with a commercial FMS using vertical navigation. The FMS computed the intended descent path for a specified speed profile assuming idle thrust after top of descent (TOD), and then it controlled the avionics without human intervention. The test matrix varied aircraft weight, descent speed, and wind conditions. The first analysis in this paper determined the effect of the test matrix parameters on the FMS computation of TOD. Increasing weight by 10,000 lb moved TOD about 4.5 nmi farther from the meter fix, increasing along-track wind by 25 kt moved it about 4.6 nmi farther away, and varying the descent speed from 250 KCAS to 320 KCAS moved the TOD about 25 nmi. The execution of the descents was analyzed by comparing simulator state data to the specified speed profile and to the FMS predictions. The FMS generally flew its predicted three-dimensional trajectory accurately, with altitude error less than 200 ft. It engaged the throttle if the speed dropped 15 KCAS below the target speed but allowed the speed to increase arbitrarily above the target unless it reached a performance limit. In the runs with descent speed too slow but correct wind conditions, the FMS meter fix arrival time prediction error was as large as 37 sec. Along-track wind error of 25 kt resulted in a meter fix arrival time error of roughly 30 sec if the target descent speed was met. The data from this analysis are used to estimate accuracy requirements for the ground automation system.
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