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基于数字虚拟飞行的民机复飞爬升梯度评估

涂章杰 王立新 陈俊平

涂章杰, 王立新, 陈俊平等 . 基于数字虚拟飞行的民机复飞爬升梯度评估[J]. 北京航空航天大学学报, 2017, 43(12): 2530-2538. doi: 10.13700/j.bh.1001-5965.2016.0879
引用本文: 涂章杰, 王立新, 陈俊平等 . 基于数字虚拟飞行的民机复飞爬升梯度评估[J]. 北京航空航天大学学报, 2017, 43(12): 2530-2538. doi: 10.13700/j.bh.1001-5965.2016.0879
TU Zhangjie, WANG Lixin, CHEN Junpinget al. Assessment of go-around climb gradient for civil aircraft based on digital virtual flight[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2530-2538. doi: 10.13700/j.bh.1001-5965.2016.0879(in Chinese)
Citation: TU Zhangjie, WANG Lixin, CHEN Junpinget al. Assessment of go-around climb gradient for civil aircraft based on digital virtual flight[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2530-2538. doi: 10.13700/j.bh.1001-5965.2016.0879(in Chinese)

基于数字虚拟飞行的民机复飞爬升梯度评估

doi: 10.13700/j.bh.1001-5965.2016.0879
基金项目: 

国家“863”计划 2014AA110501

详细信息
    作者简介:

    涂章杰 男,硕士研究生。主要研究方向:飞行动力学与控制

    王立新 男,博士,教授,博士生导师。主要研究方向:飞机设计、飞行动力学与控制、飞行安全等

    通讯作者:

    王立新, E-mail: wlx_c818@163.com

  • 中图分类号: V121.12

Assessment of go-around climb gradient for civil aircraft based on digital virtual flight

Funds: 

National High-tech Research and Development Program of China 2014AA110501

More Information
  • 摘要:

    飞机的爬升梯度反映了其越过地面障碍达到安全高度的能力,为保障民机复飞时的飞行安全,适航条款规定复飞爬升梯度应满足一定的数值要求。根据适航条款对民机复飞程序和复飞爬升梯度的规定,提出了一种基于数字虚拟飞行的复飞爬升梯度适航符合性评估方法。基于适航条款规定和驾驶员操纵特点,建立了复飞任务的数字化模型和驾驶员操纵模型,进而以中国某型涡喷支线客机为对象建立飞行动力学模型,构成了可进行复飞爬升任务仿真的数字虚拟飞行仿真系统。通过仿真计算完成了对着陆爬升和进场爬升的爬升梯度评估,并与真实试飞结果对比,评估相对误差在10%以内,验证了本文方法的适用性和准确性。本文方法可应用于民机的概念方案设计,为保证飞机复飞爬升性能的适航符合性和最大着陆重量的确定等提供支持。

     

  • 图 1  最小爬升梯度[2]

    Figure 1.  Minimum climb gradient[2]

    图 2  基于数字虚拟飞行的适航符合性评估方法结构框图

    Figure 2.  Architecture of airworthiness compliance evaluation method based on digital virtual flight

    图 3  飞行控制系统基本模型

    Figure 3.  Basic flight control system model

    图 4  操纵面作动器模型

    Figure 4.  Actuator model of control surfaces

    图 5  复飞爬升数字虚拟飞行仿真控制结构框图

    Figure 5.  Control architecture of digital virtual flight simulation for go-around climb

    图 6  驾驶员操纵模型

    Figure 6.  Pilot control model

    图 7  着陆爬升过程飞行状态和控制参数时间历程曲线

    Figure 7.  Time history curves of flight state and control variables of landing climb

    图 8  进场爬升过程飞行状态和控制参数时间历程曲线

    Figure 8.  Time historiy curves of flight state and control variables of approach climb

    表  1  Hosman驾驶员操纵模型参数[23]

    Table  1.   Hosman pilot control model parameters[23]

    参数 取值范围
    视觉反应 增益KV [1, 100]
    超前时间常数TL/s [0, 1.0]
    滞后时间常数TD/s [0, 1.0]
    神经反应延迟τv/s [0.06, 0.20]
    运动感觉反应 增益Km [1, 100]
    神经反应延迟τm/s [0.06, 0.20]
    肌肉作动感觉 频率ωn/(rad·s-1) 9.0
    阻尼比ζ 0.7
    下载: 导出CSV

    表  2  着陆爬升性能试飞数据

    Table  2.   Flight test data of landing climb performance

    参数 数值
    构型参数 重量/kg 40 101.0
    卡位 F4
    重心 4.48%c
    起落架 放下
    任务参数 试验高度/m 3 000
    NL/% 100
    VREF/kn 130.0
    NR/% 100
    使用条件 静温/K 270.0
    风速 0
    试飞结果 爬升率/(m·s-1) 8.16
    爬升梯度/% 10.4
    下载: 导出CSV

    表  3  进场爬升性能试飞数据

    Table  3.   Flight test data of approach climb performance

    参数 数值
    构型参数 重量/kg 39 954.7
    卡位 F3
    重心 3.86%c
    起落架 收起
    任务参数 试验高度/m 3 500
    NL/% 100
    VREF/kn 165.2
    NR 0
    使用条件 静温/K 267.8
    风速 0
    试飞结果 爬升率/(m·s-1) 3.02
    爬升梯度/% 3.08
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-11-16
  • 录用日期:  2016-12-16
  • 刊出日期:  2017-12-20

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