### 涡扇发动机多动力学建模方法

1. 1. 南京航空航天大学 能源与动力学院, 南京 210016;
2. 中国航发控制系统研究所, 无锡 214063
• 收稿日期:2018-08-28 修回日期:2018-09-21 出版日期:2019-05-15 发布日期:2018-11-23
• 通讯作者: 周文祥 E-mail:zhouwx@nuaa.edu.cn
• 基金资助:
国家自然科学基金（51406084）；江苏省航空动力系统重点实验室基金（NJ20160020）

### A multi-dynamics approach to turbofan engine modeling

PAN Muxuan1, CHEN Qianglong1, ZHOU Yongquan2, ZHOU Wenxiang1, HUANG Jinquan1

1. 1. College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. AECC Aero Engine Control System Institute, Wuxi 214063, China
• Received:2018-08-28 Revised:2018-09-21 Online:2019-05-15 Published:2018-11-23
• Supported by:
National Natural Science Foundation of China (51406084); Jiangsu Province Key Laboratory Foundation of Aerospace Power System (NJ20160020)

Abstract: Considering the rotor inertia, the storage of mass and energy in volumes and the heat exchanging between high-temperature components and low-temperature components, an approach to model turbofan engines is presented. By adopting the shaft dynamics, the volume dynamics, and the thermodynamics, a nonlinear dynamic mathematical model for turbofan engines is formed. The characteristic parameters at the primary sections are obtained by solving a series of first-order ordinary differential equations. The new model can not only simulate the dynamic characteristics of 12 key parameters of turbofan engine, such as temperatures, pressures, and rotor speeds, but also improve the real-time performance by avoiding solving the traditional rotor dynamics iterative model. The comparison between the new model outputs and the test measurements is conducted. The results show that the static error is less than 1.6% and the maximum dynamic error is less than 5%, and the average time for a single flow-path computation is 0.009 ms.