基于过渡工作过程的航空发动机气路分析方法

为对发动机机动性能的退化程度进行估计，开展了基于过渡工作过程的气路分析研究。针对气路传感器数目较少的情况，采用序列工作点方法对大量的健康参数进行分析，在增加可用信息量的同时，降低了由多工作点方法的平均效应引入的参数估计系统误差。为解决发动机大偏差性能退化健康参数估计中的计算收敛性问题，提出了间接递归牛顿-拉夫逊法强化非支配分类差分进化算法。针对某型双轴分排涡扇发动机的气路分析结果表明：采用本文所提出的方法能够在气路传感器数目有限的条件下，利用发动机过渡态数据实现对大偏差范围内大量健康参数的高效、准确估计。

Aeroengine gas path analysis during transient process

To predict the degradation of engine maneuvering characteristics, transient process based gas path analyses were conducted. Sequential Operating Points Analysis (SOPA), which extracts more information from a limited number of gas path sensors as well as eliminate the systematic error introduced by the averaging effect of multiple operating points approach, was applied to the estimation of a large number of health parameters. To solve the convergence problem of health parameter estimating calculation with considerable deviations, indirectly recursive Newton-Raphson method enhanced non-dominated sorting differential evolution algorithm was introduced. Applications to a dual-spool separated flow turbofan engine indicated that the proposed approach was able to predict a large number of health parameters with considerable deviations, using transient measurements provided by a very limited number of gas path sensors, efficiently and accurately.