基于动态系数法的微型涡喷发动机实时建模

中国机械工程 ›› 2015, Vol. 26 ›› Issue (2): 243-247.

基于动态系数法的微型涡喷发动机实时建模

徐鑫;张天宏;盛汉霖

南京航空航天大学江苏省航空动力系统重点实验室,南京,210016

出版日期:2015-01-25 发布日期:2015-01-23
基金资助:
国家自然科学基金资助项目(51176075);江苏高校优势学科建设工程资助项目

Research on MTE Real-time Modeling Based on Dynamic Coefficient Method

Xu Xin;Zhang Tianhong;Sheng Hanlin

Jiangsu Province Key Laboratory of Aerospace Power Systems，Nanjing University of Aeronautics and Astronautics, Nanjing, 210016

Online:2015-01-25 Published:2015-01-23
Supported by:
National Natural Science Foundation of China（No. 51176075）

摘要/Abstract

摘要：

利用时域法系统辨识获得了发动机一系列稳态点附近的转速-燃油量稳态特性和动态特性,通过插值算法获得了全范围稳态关系和加速度系数,采用动态系数法建立了发动机全范围实时模型。该模型结构简单,运算量较小,实时性好。仿真试验表明：该模型可以较好地反映微型涡喷发动机的稳态特性和动态特性，与试验数据相比，模型的稳态点误差不超过1%,过渡过程误差不超过6%，可用于微型涡喷发动机的容错控制。

关键词: 微型涡喷发动机, 容错控制, 系统辨识, 动态系数法, 实时模型

Abstract:

This paper obtained a series of rotating speed-fuel consumption steady state and dynamic property of the engine at some steady points by using system identification method of time domain, obtained steady state relationship and acceleration coefficient for full range by using interpolation method, and established real-time model of the engine for full range by using dynamic coefficient method. This model was characterized by simple structure, small calculating amount, high real-time control. Simulation results show that this model can well reflect the steady state and dynamic property of MTE, compared to experimental data, steady point's deviation of the model is less than 1%, deviation of transient process is less than 6%, which can apply to fault-tolerant control of MTE.

Key words: micro-turbojet engine(MTE), fault tolerant control, system identification, dynamic coefficient method, real-time model

中图分类号:

V233.7

徐鑫, 张天宏, 盛汉霖. 基于动态系数法的微型涡喷发动机实时建模[J]. 中国机械工程, 2015, 26(2): 243-247.

Xu Xin, Zhang Tianhong, Sheng Hanlin. Research on MTE Real-time Modeling Based on Dynamic Coefficient Method[J]. China Mechanical Engineering, 2015, 26(2): 243-247.

参考文献

[1]孙健国.面向21世纪航空动力控制展望[J].航空动力学报,2001,16(2):97-102.
Sun Jianguo.Prospects of the Aeroengine Control Development in the Early Time of the 21st Century[J].Journal of Aerospace Power,2001,16(2):97-102.
[2]Daniele C J,Krosel S M,Szuch J R,et al.Digital Computer Program for Generating Dynamic Turbofan Engine Models, NASA TM283446[R]. Cleveland,Ohio:Lewis Research Center,1983.
[3]Kim J H,Song T W,Kim T S,et al.Model Development and Simulation of Transient Behavior of Heavy Duty Gas Turbines[J]. Journal of Engineering for Gas Turbines and Power,2001,12(3):589-594.
[4]李家瑞.航空发动机建模技术研究[D].南京:南京航空航天大学,2005.
[5]张建良,秦琦峰,黄向华,等.小型航空二冲程活塞发动机建模及控制器在回路仿真研究[J].中国机械工程,2013,24(7)：906-909.
Zhang Jianliang,Qin Qifeng,Huang Xianghua,et al.Research on Modeling and ECU In-the-loop Simulatiom for Two Stroke Piston-aero Engine[J].China Mechanical Engineering,2013,24(7):906-909.
[6]Lennart Ljung.Black Box Model from Input Output Measurement[C]//IEEE Instrumentation and Measurement Technology Conference.Budapest,Hungary,2001:21-23.
[7]Geve M.A Personal View of the Development of System Identification[J].IEEE Control Systems Magazine, 2006, 26(6):93-105.
[8]周文祥,黄金泉,黄开明.航空发动机简化实时模型仿真研究[J].南京航空航天大学学报,2005,37(2):251-255.
Zhou Wenxiang,Huang Jinquan,Huang Kaiming.Real-time Simulation System for Aeroengine Based on Simplified Model[J]. Journal of Nanjing University of Aeronautics & Astronautics,2005,37(2):251-255.
[9]潘慕绚,黄金泉.航空发动机模型参考自适应控制综述[J].航空发动机,2003,29(2):51-54.
Pan Muxuan,Huang Jinquan.Summary of Model Reference Adaptive Control of Aeroengine[J].Aeroengine,2003,29(2):51-54.
[10]孙建国,黄金泉,叶志峰,等.现代航空动力装置控制[M].北京:航空工业出版社,2009.
[11]于连栋，费业泰.状态变量分析法在系统辨识中的应用[J].中国机械工程，2004，15(16)：1472-1474.
Yu Liandong,Fei Yetai.Application of Analysis Method of State Variable in System Identification[J].China Mechanical Engineering,2004,15(16):1472-1474.
[12]倪博溢,萧德云.MATLAB环境下的系统辨识仿真工具箱[J].系统仿真学报,2006,18(6):1493-1496.
Ni Boyi,Xiao Deyun.System Identification and Simulation Toolbox under MATLAB Environment[J].Journal of System Simulation,2006,18(6):1493-1496.
[13]廉筱纯,吴虎.航空发动机原理[M].西安:西北工业大学出版社,2005.