基于数据的航空发动机模型匹配方法

本文提出了一种航空发动机模型匹配方法,以双轴涡轮风扇发动机为研究对象,在不同飞行条件、不同发动机性能退化状态下,基于发动机部件特性参数和气路测量参数求解了敏感系数矩阵,预测了退化发动机工作点特性参数和输出性能参数。结果表明,模型计算过程简单,运算速度快,在不考虑测试噪声的情况下,特性参数预测误差均小于0.16%,输出的推力和耗油率的误差最大为0.4%,精度满足工程要求。本文所述方法不受部件特性和发动机结构类型的影响,可扩展应用于其它类型发动机。

Data-based Aero-engine Model Matching Method

This paper proposes an aero-engine model matching method,taking the twin-shaft turbofan engine as the research object,under different flight conditions and different engine performance degradation conditions,the sensitivity coefficient matrix is solved based on engine component characteristic parameters and air path measurement parameters,and the operating point characteristic parameters and output performance parameters of the degraded engine are predicted.The results show that the calculation process of the model is simple and the calculation speed is fast.Without considering the test noise,the prediction error of the characteristic parameters is less than 0.16%,and the error of the output thrust and fuel consumption rate is 0.4%at the maximum.The method described in this paper is not affected by component characteristics and engine structure types,and can be extended to other types of engines.