基于未知输入观测器的涡扇发动机直接推力控制

王斌; 王曦; 孔祥兴; 杨蓓

doi:10.13224/j.cnki.jasp.2016.03.021

基于未知输入观测器的涡扇发动机直接推力控制

doi: 10.13224/j.cnki.jasp.2016.03.021

1. 中国航空工业集团公司中航空天发动机研究院有限公司, 北京 101304;
2. 北京航空航天大学能源与动力工程学院, 北京 100191

基金项目:

航空科学基金(2014ZBN3007)

详细信息

作者简介:
王斌(1974-),男,江西临川人,工程师,博士,主要从事航空发动机建模、仿真与故障诊断研究.

中图分类号: V233.7
计量
- 文章访问数: 912
- HTML浏览量: 2
- PDF量: 461
- 被引次数: 0
出版历程
- 收稿日期: 2015-06-15
- 刊出日期: 2016-03-28

Direct thrust control of turbofan engines based on unknown input observer

1. Academy of Aeronautic Propulsion Technology, Aviation Industry Corporation of China, Beijing 101304, China;
2. School of Energy and Power Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 针对某型涡扇发动机,进行直接推力控制回路设计方法研究.基于未知输入观测器(UIO)原理建立了涡扇发动机机载模型和推力估计器,UIO通过解耦外界干扰实现了全飞行包线推力的准确估计;提出了直接推力闭环反馈控制的双回路结构设计方案,内环转速控制,外环推力控制,有利于实现各回路控制参数的独立设计.仿真验证结果表明:基于UIO的模型基涡扇发动机直接推力控制具有良好的控制稳定性和抗干扰性能,对于发动机不同工作点直接推力控制,推力控制误差不超过0.1%,转速控制偏差不超过0.2%.
- 涡扇发动机 /
- 双回路控制 /
- 模型基 /
- 未知输入观测器 /
- 直接推力控制
Abstract: A research on direct thrust control loop design method of a turbofan engine was carried out. Firstly, an onboard model and a thrust estimator of turbofan engines were built based on unknown input observer(UIO) design. Accurate estimation of the entire flight envelope thrust was achieved through decoupling the external disturbance by the UIO observer. Secondly, an integrated dual-loop direct thrust control scheme was proposed. Respectively, its inner loop control was achieved through rotor speed close-loop control scheme, and its outer loop control through engine thrust close-loop control scheme. It is beneficial to realize the independent design of control parameters for each loop. At the end, disturbance rejection and servo tracking ability of the proposed control scheme was successfully validated by simulation. For the engine of different flight working condition points of the direct thrust control, the thrust control error is not more than 0.1%, the speed control deviation is not more than 0.2%.
- turbofan engine /
- dual-loop control /
- model-based /
- unknown input observer(UIO) /
- direct thrust control

HTML

参考文献(20)

[1]	陈代富,宋迎军.军用航空涡扇发动机性能衰减及控制[J].航空发动机,2009,35(1):43-46. CHEN Daifu,SONG Yingjun.Performance deterioration and control of military turbofan engine[J].Aeroengine,2009,35(1):43-46.(in Chinese)
[2]	赵肃,李建榕.航空发动机推力变化对飞机基本性能影响的敏感性分析[J].航空发动机,2010,36(2):26-30. ZHAO Su,LI Jianrong.Sensitivity analysis for effect of aeroengine thrust variation on aircraft basic performance[J].Aeroengine,2010,36(2):26-30.(in Chinese)
[3]	王永华,李东.基于云粒子群算法的航空发动机性能衰退模型研究[J].燃气涡轮试验与研究,2012(1):17-19,43. WANG Yonghua,LI Dong.Research on aero-engine performance deterioration model based on the cloud particle swarm optimization[J].Gas Turbine Experiment and Research,2012(1):17-19,43.(in Chinese)
[4]	李业波,李秋红,黄向华,等.航空发动机性能退化缓解控制技术[J].航空动力学报,2012,27(4):930-936. LI Yebo,LI Qiuhong,HUANG Xianghua,et al.Performance deterioration mitigation control of aero-engine[J].Journal of Aerospace Power,2012,27(4):930-936.(in Chinese)
[5]	Dan R,Henriksson M.Thrust control for a turbofan engine using estimation[R].ASME Paper GT2006-91251,2006.
[6]	Viassolo D E,Adibhatla S,Brunell B J,et al.Advanced estimation for aircraft engines[R].New York:American Control Conference,2007.
[7]	Chatterjee S,Litt J S.Online model parameter estimation of jet engine degradation for autonomous propulsion control[R].AIAA-2003-5425,2003.
[8]	姚彦龙,孙健国.自适应遗传神经网络算法在推力估计器设计中的应用[J].航空动力学报,2007,22(10):1748-1753. YAO Yanlong,SUN Jianguo.Application of adaptive genetic neural network algorithm in design of thrust estimator[J].Journal of Aerospace Power,2007,22(10):1748-1753.(in Chinese)
[9]	姚彦龙,孙健国.基于神经网络逆控制的发动机直接推力控制[J].推进技术,2008,29(2):249-252. YAO Yanlong,SUN Jianguo.Aeroengine direct thrust control based on neural network inverse control[J].Journal of Propulsion Technology,2008,29(2):249-252.(in Chinese)
[10]	刘毅男,张胜修,张超.基于核方法的航空发动机推力估计器设计[J].推进技术,2013,34(6):829-835. LIU Yinan,ZHANG Shengxiu,ZHANG Chao.Aero engine thrust estimator design based on kernel method[J].Journal of Propulsion Technology,2013,34(6):829-835.(in Chinese)
[11]	赵永平,孙健国,王前宇,等.基于K-均值聚类和约简最小二乘支持向量回归机的推力估计器设计[J].航空动力学报,2010,25(5):1177-1183. ZHAO Yongping,SUN Jianguo,WANG Qianyu,et al.Thrust estimator design based on K-means clustering and reduced least squares support vector regression[J].Journal of Aerospace Power,2010,25(5):1177-1183.(in Chinese)
[12]	Yang F,Wilde R W.Observers for linear systems with unknown inputs[J].IEEE Transactions on Automatic Control,1988,33(7):677-681.
[13]	胡志坤,孙岩,姜斌,等.一种基于最优未知输入观测器的故障诊断方法[J].自动化学报,2013,39(8):1225-1230. HU Zhikun,SUN Yan,JIANG Bin,et al.An optimal unknown input observer based fault diagnosis method[J].Acta Automatica Sinica,2013,39(8):1225-1230.(in Chinese)
[14]	何皑,覃道亮,孔祥兴,等.基于UIO的航空发动机执行机构故障诊断[J].推进技术,2012,33(1):98-104. HE Ai,TAN Daoliang,KONG Xiangxing,et al.UIO-based diagnosis of aeroengine actuator faults[J].Journal of Propulsion Technology,2012,33(1):98-104.(in Chinese)
[15]	HE Chen,ZHANG Xiaodong,JIA Binghui.UIO based robust fault diagnosis approach for aero-engine fiber-optic sensor[R].Madison,WI,USA:International Conference on Automation Science and Engineering(CASE),2013.
[16]	Patton R J,Frank P M,Clarke R N.Fault diagnosis in dynamic systems:theory and application[M].New York:Prentice Hall,1989.
[17]	Haykin S.Kalman filtering and neural networks[M].New York:John Wiley & Sons,2002.
[18]	袁春飞,姚华,刘源.基于机载自适应模型的航空发动机控制[J].推进技术,2006,27(4):354-358. YUAN Chunfei,YAO Hua,LIU Yuan.On-board model based control of aeroengine[J].Journal of Propulsion Technology,2006,27(4):354-358.(in Chinese)
[19]	Chen J,Patton R J.Robust model-based fault diagnosis for dynamic systems[M].Norwell,MA,USA:Kluwer Academic Publishers,1999.
[20]	CHEN Jie,ZHANG Hongyue.Robust detection of faulty actuators via unknown input observers[J].International Journal of Systems Science,1991,22(10):1829-1839.