基于任务段的航空发动机载荷谱聚类方法

杜宇飞; 孙志刚; 陆琪; 宋迎东

doi:10.13224/j.cnki.jasp.2019.05.004

基于任务段的航空发动机载荷谱聚类方法

doi: 10.13224/j.cnki.jasp.2019.05.004

南京航空航天大学能源与动力学院,南京 210016

基金项目: 国家自然科学基金(51675266); 中央高校基本科研专项基金(NJ20160038,NS2017011); 南京航空航天大学基金(kfjj20160203,kfjj20170220)

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出版历程
- 收稿日期: 2018-04-19
- 刊出日期: 2019-05-28

Aeroengine load spectrum clustering method based on mission segment

摘要

摘要: 针对航空发动机飞行任务剖面分类问题,对发动机31个飞行任务剖面进行了聚类分析。选取飞行高度和飞行马赫数作为划分飞行任务剖面的参数, 依据其对应的飞行任务段均值生成聚类散点图,将剖面类型划分为5大类。结果表明：低空低速剖面在无量纲飞行高度为0~0.2、飞行马赫数为0.4~0.6区间,均值最低;高空高速剖面在无量纲飞行高度为1.2~2.2、飞行马赫数为1.0~1.8区间,均值最高;飞行任务剖面在无量纲飞行高度为0.2~1.2、飞行马赫数为0.6~1.0区间内最为集中;针对散点密集区域,可依据剖面特征进一步划分剖面类型;不同剖面间,飞行高度与飞行马赫数差异性强,利于剖面划分,而法向过载与转速差异性小,不利于剖面的划分。所提出的方法可以快速有效的对航空发动机飞行任务剖面进行聚类分析。
- 航空发动机载荷谱 /
- 任务段 /
- 飞行任务剖面 /
- 聚类分析 /
- 聚类散点图
Abstract: According to the classification problem of aeroengine mission profile, 31 flight mission profiles of a fighter engine were clustered. The flight altitude and flight Mach number were selected as the parameters of the flight mission profile, and the cluster scatter plot was generated according to the corresponding flight mission segment average, and the profile types were divided into five categories. Results showed that the low-altitude low-speed profile had the lowest mean value at the dimensionless flight altitude of 0－0.2 and the flight Mach number of 0.4－0.6. The high-altitude high-speed profile had the highest mean value at the dimensionless flight altitude of 1.2－2.2 and the flight Mach number of 1.0－1.8, with the flight mission profile. The dimensionless flight altitude was 0.2－1.2, and the flight Mach number was 0.6－1.0. The contour was further divided according to the profile characteristics; the difference between the flight height and the flight Mach number was different between different sections, which was beneficial to the section division. The difference between normal overload and speed was small, which was not conducive to the division of the profile. The proposed method can quickly and effectively cluster the aeronautical engine mission profile.
- aeroengine load spectrum /
- mission segment /
- flight mission profile /
- cluster analysis /
- clustering scatter plot

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