北京航空航天大学学报 ›› 2009, Vol. 35 ›› Issue (10): 1192-1196.

• 论文 • 上一篇    下一篇

旋翼/涡轴发动机的自适应模型

邹先权, 孙健国, 张海波   

  1. 南京航空航天大学 能源与动力学院, 南京 210016
  • 收稿日期:2008-10-17 出版日期:2009-10-31 发布日期:2010-09-16
  • 作者简介:邹先权(1983-),男,湖北荆州人,硕士生,xqzou2006@yahoo.cn.
  • 基金资助:

    航空支撑科技基金资助项目(04B52006)

Adaptive model of rotor/turbo-shaft engine

Zou Xianquan, Sun Jianguo, Zhang Haibo   

  1. College of Energy Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2008-10-17 Online:2009-10-31 Published:2010-09-16

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.

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.

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