航空发动机气路故障诊断的平方根UKF方法研究

张鹏; 黄金泉

航空发动机气路故障诊断的平方根UKF方法研究

张鹏,
黄金泉

南京航空航天大学能源与动力学院, 南京 210016

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出版历程
- 收稿日期: 2006-12-21
- 修回日期: 2007-03-12
- 刊出日期: 2008-01-28

SRUKF research on aeroengines for gas path component fault diagnostics

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

摘要

摘要: 设计了适用于双轴涡扇发动机健康参数估计的平方根UKF滤波算法,解决了线性卡尔曼滤波器估计结果准确性依赖于线性模型精度;常规UKF算法中由于计算误差及噪声信号影响引起误差协方差矩阵负定而导致滤波结果发散等问题.提出了根据测量残差变化改进滤波收敛速度与稳定性的方法.发动机渐变与突变故障模式下仿真结果表明,平方根UKF估计算法收敛速度快,稳定性强,精度高,是一种有效的发动机气路部件健康参数估计与故障诊断方法.
- 航空、航天推进系统 /
- 航空发动机 /
- 故障诊断 /
- 非线性滤波 /
- 平方根UKF
Abstract: An algorithm based on square root unscented Kalman filter(SRUKF) was presented to solve the aeroengine health parameter estimation problem.The SRUKFmethod could be applied to addresses the estimation inaccuracy of linear Kalman filter and the filtering divergence problem caused by error covariance matrix non-positive in general unscented Kalman filter.Amethod for improving the filtering convergence rate and stability was developed according to the residual vector.The results obtained from gradual and abrupt fault diagnostic simulation show that,SRUKFfeatures rapid convergence,higher stability and accuracy,making it become an efficient estimation and fault diagnosis method for health parameters of gas path components in aeroengines.
- aerospace propulsion system /
- aeroengine /
- fault diagnostics /
- nonlinear filtering /
- square root unscented Kalman filter(SRUKF)

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参考文献(7)

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