旋翼/涡轴发动机的自适应模型

邹先权; 孙健国; 张海波

旋翼/涡轴发动机的自适应模型

南京航空航天大学能源与动力学院, 南京 210016

基金项目: 航空支撑科技基金资助项目(04B52006)

详细信息

作者简介:
邹先权(1983-),男,湖北荆州人,硕士生,xqzou2006@yahoo.cn.

中图分类号: V 231
计量
- 文章访问数: 3030
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- 被引次数: 0
出版历程
- 收稿日期: 2008-10-17
- 网络出版日期: 2009-10-31

Adaptive model of rotor/turbo-shaft engine

College of Energy Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

摘要

摘要: 基于卡尔曼滤波器研究旋翼/涡轴发动机的机载自适应模型.采用拟合法建立了状态变量模型,并将发动机性能蜕化参数作为增广的状态变量,设计了卡尔曼滤波器,从而可以根据可测参数的偏离量估计出发动机部件性能蜕化值,最后将部件性能蜕化值用于对机载模型中不可测性能参数的修正,从而使机载模型能适应发动机的非额定工作状况.通过数字仿真表明,建立的机载自适应模型能真实反映发动机的工作状况,并且在全包线范围内该模型都具有比较好的鲁棒性和实时性.
- 涡轴发动机 /
- 旋翼 /
- 卡尔曼滤波 /
- 自适应模型
Abstract: An adaptive model of rotor/turbo-shaft engine on board was constructed using Kalman filter. The state variable model of rotor/turbo-shaft engine was built through the data fitness method, and a Kalman filter was designed using the deterioration factors as augmented state variables. The Kalman filter can be utilized to predict the component deteriorations from the deviation of measurable parameters, which are used to trim the unmeasurable output parameters of the model on board so that it can adapt the actual engine. The digital simulation results show that the adaptive model on board is able to match the actual engine well. Meantime, the robustness and real-time of the adaptive model are also validated in the full flight envelope.
- turbo-shaft engine /
- rotor /
- Kalman filter /
- adaptive model

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参考文献(1)

[1] Luppold R H, oman J R, allops G W, et al. Estimating in-flight performance variations using Kalman filter concepts. AIAA89-2584, 1989 [2] 王信德,孙健国,李松林,等.神经网络在发动机自适应建模中的应用研究[J].航空动力学报,2003,18(6):845-849 Wang Xingde, Sun Jianguo, Li Songlin, et al. Application of neural networks to aeroengine adaptive modeling[J]. Journal of Aerospace Power, 2003,18(6):845-849(in Chinese) [3] Kobayashi Takahisa, Simon D L. Application of a bank of Kalman filters for aircraft engine fault diagnostics . NASA/TM 2003-212526,2003 [4] Kobayashi Takahisa, Simon Donald L, Litt Jonathan S. Application of a constant gain extended kalman filter for in-flight estimation of aircraft engine performance parameters . NASA/TM 2005-213865,2005 [5] 袁春飞,姚华,杨刚.航空发动机机载实时自适应模型研究[J].航空学报, 2006, 27(4):561-564 Yuan Chunfei, Yao Hua, Yang Gang. On-board real-time adaptive model of aero-engine[J]. Journal of Aeronautics, 2006, 27(4):561-564(in Chinese) [6] 周剑波.涡轴发动机建模技术研究 .南京:南京航空航天大学能源与动力学院,1995 Zhou Jianbo. Modeling research of turboshaft engine . Nanjing: College of Energy Power Engineering, Nanjing University of Aeronautics and Astronautics,1995(in Chinese) [7] 姚文荣,孙健国.基于变旋翼转速的涡轴发动机优化控制[J].航空动力学报,2007,22(9):1573-1577 Yao Wenrong, Sun Jianguo. Optimization for turboshaft engines based on variable rotor speed[J].Journal of Aerospace Power, 2007,22(9):1573-1577(in Chinese) [8] 冯正平,孙健国,黄金泉,等.一种建立航空发动机状态变量模型的新方法[J].航空动力学报,1998,13(4):435-438 Feng Zengping, Sun Jianguo, Huang Jinquan, et al. A new method for establishing a state variable model of aero-engine[J]. Journal of Aerospace Power, 1998,13(4):435-438(in Chinese) [9] 袁鸯,孙健国.基于神经网络的航空发动机自适应实时模型研究中国航空学会第十二届发动机自动控制学术会议论文集.井冈山: ,2004 Yuan Yang, Sun Jianguo. Real-time adaptive model of aero-engine biases on neural network Proceeding of the 12th Automatic Control for Aero-Engine. Jinggangshan: ,2004(in Chinese) [10] Alag G, Gilyard G. A proposed Kalman filter algorithm for estimation of unmeasured output variables for an F100 turbofan engine .AIAA90-1920,1990

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