Turbofan engine gas path components fault diagnosis based on adaptive cubature Kalman filter
-
摘要: 针对涡扇发动机气路部件故障诊断中参数存在不同的噪声统计特性,提出了一种自适应平方根容积卡尔曼滤波(ASRCKF)器的自适应滤波方法.该方法直接利用基于3阶容积积分方法近似发动机的非线性统计特性,用于替代非线性无迹卡尔曼滤波方法的系统模型,避免了滤波过程参数选取的问题;采用移动窗口法对噪声协方差矩阵进行自适应估计,提高了算法对不同统计特性噪声的自适应能力和滤波精度.通过对发动机气路部件健康参数蜕化过程仿真结果表明:ASRCKF方法相比平方根容积卡尔曼滤波(SRCKF)方法,精度提高40%~50%,对不同噪声信号具有更好的适应能力.Abstract: In order to realize better filtering accuracy and adaptability given different statistic characteristics of noises, an adaptive square root cubature Kalman filter (ASRCKF) was proposed for the turbofan engine gas path components fault diagnosis. In the ASRCKF algorithm, the mean and covariance of the engine nonlinear function were calculated by three-order cubature rule-based numerical integration method and used as a substitute of nonlinear model to avoid the parameters selection problem of nonlinear unscented Kalman filter. The latest information of measurement parameters in the recursion and filtering process was used to estimate and self-adjust the noise cross-covariance by removable window method, so as to realize higher filtering accuracy and adaptability of different noises. The comparison of simulation results indicates that the accuracy of the ASRCKF is improved by 40%-50% than the SRCKF, showing a better adaptability to different noises than other algorithms.
-
[1] Rajamani R,Wang J,Jeong K Y.Conditioned based maintenance for aircraft engine[J].ASME Paper GT2004-54127,2004. [2] Naderi E,Meskin N,Khorasani K.Nonlinear fault diagnosis of jet engines by using a multiple model-based approach[J].Journal of Engineering for Gas Turbines and Power,2012,134(1):011602.1-011602.10. [3] Luppold R H,Roman J R,Gallops G W,et al.Estimating in flight engine performance variations using Kalman filter concepts[R].AIAA-89-2584,1989. [4] Kobayashi T.Application of a constant gain extended Kalman filter for in-flight estimation of aircraft engine performance parameters[R].NASA/TM 2005-213865,2005. [5] Kamboukos Ph,Mathioudakis K.Comparison of linear and nonlinear gas turbine performance diagnostics[J].Journal of Engineering for Gas Turbine and Power,2005,127(1):49-56. [6] 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[J].航空动力学报,2008,23(1):169-173. ZHANG Peng,HUANG Jinquan.SRUKF research on aeroengines for gas path component fault diagnostics[J].Journal of Aerospace Power,2008,23(1):169-173.(in Chinese) [7] Simon D.A comparison of filtering approaches for aircraft engine health estimation[J].Aerospace Science and Technology,2008,12(4):276-284. [8] 何志昆,刘光斌,赵曦晶,等.基于GPR模型的自适应平方根容积卡尔曼滤波算法[J].航空学报,2013,34(9):2202-2211. HE Zhikun,LIU Guangbin,ZHAO Xijing,et al.Adaptive square-root cubature Kalman filer algrorithm based on Gaussian process regression models[J].Acta Aeronautica et Astronautica Sinica,2013,34(9):2202-2211.(in Chinese) [9] 赵琳,王小旭,李亮,等.非线性系统滤波理论[M].北京:国防工业出版社,2012. [10] Arasaratnam I,Haykin S.Cubature Kalman filters[J]. IEEE Trans.on Automatic Control,2009,54(6):1254-1269. [11] Arasaratnam I,Haykin S,Hurd T R.Cubture Kalman filtering for continuous-discrete systems:theory and simulations[J].IEEE Trans.on Signal Processing,2010,58(10):4977-4993. [12] 胡宇,张世英,杨月诚,等.基于超球体平方根无迹Kalman滤波算法的涡扇发动机气路部件故障诊断[J].航空动力学报,2014,29(3):689-695. HU Yu,ZHANG Shiying,YANG Yuecheng,et al.Fault diagnosis of gas path components of turbofan engine based on sepherical square root unscented Kalman filter algorithm[J].Journal of Aerospace Power,2014,29(3):689-695.(in Chinese) [13] 魏喜庆,宋申民.基于改进容积卡尔曼滤波的奇异避免姿态估计[J].航空学报,2013,34(3):610-619. WEI Xiqing,SONG Shenmin.Improved cubature Kalman filter based attitude estimation avoiding singularity[J].Acta Aeronautica et Astronautica Sinica,2013,34(3):610-619.(in Chinese) [14] 李文峰,王永生,杨纪明,等.航空发动机测试信号噪声分析[J].航空动力学报,2005,20(5):900-904. LI Wenfeng,WANG Yongsheng,YANG Jiming,et al.Noise characteristics analysis of aero-engine testing signals[J].Journal of Aerospace Power,2005,20(5):900-904.(in Chinese) [15] 刘小勇,樊思齐.自适应卡尔曼滤波在航空发动机参数估计中的应用[J].航空动力学报,1995,10(3):304-306. LIU Xiaoyong,FAN Siqi.Application of Kalman filtering for an aeroengine parameter estimation[J].Journal of Aerospace Power,1995,10(3):304-306.(in Chinese) [16] 黄金泉,冯敏,鲁峰.基于自适应粒子滤波的涡扇发动机故障诊断[J].航空动力学报,2014,29(6):1498-1504. HUANG Jinquan,FENG Min,LU Feng.Turbofan engine fault diagnosis based on adaptive particle filtering[J].Journal of Aerospace Power,2014,29(6):1498-1504.(in Chinese) [17] LU Feng,HUANG Jinquan,LÜ Yiqiu.Gas path health monitoring for a turbofan engine based on a nonlinear filtering approach[J].Energies,2013,6(1):492-513. [18] Borguet S,Léonard O.A generalized likelihood ratio test for adaptive gas turbine performance monitoring[J].Journal of Engineering for Gas Turbines and Power,2009,131(1):1-8.
点击查看大图
计量
- 文章访问数: 1005
- HTML浏览量: 6
- PDF量: 588
- 被引次数: 0