一種船用燃氣輪機強跟蹤擴展卡爾曼濾波器健康參數估計方法

作者：楊慶材,李淑英,曹云鵬

摘要：Monitoring and evaluating the health parameters of marine gas turbine engine help in developing predictive control techniques and maintenance schedules.Because the health parameters are unmeasurable,researchers estimate them only based on the available measurement parameters.Kalman filter-based approaches are the most commonly used estimation approaches;how-ever,the conventional Kalman filter-based approaches have a poor robustness to the model uncertainty,and their ability to track the mutation condition is influenced by historical data.Therefore,in this paper,an improved Kalman filter-based algorithm called the strong tracking extended Kalman filter(STEKF)approach is proposed to estimate the gas turbine health parameters.The analytical expressions of Jacobian matrixes are deduced by non-equilibrium point analytical linearization to address the problem of the conventional approaches.The proposed approach was used to estimate the health parameters of a two-shaft marine gas turbine engine in the simulation environment and was compared with the extended Kalman filter(EKF)and the unscented Kalman filter(UKF).The results show that the STEKF approach not only has a computation cost similar to that of the EKF approach but also outperforms the EKF approach when the health parameters change abruptly and the noise mean value is not zero.

發文機構：College of Power and Energy Engineering

關鍵詞：GasTURBINEHealthparameterestimationExtendedKalmanFILTERUnscentedKalmanFILTERStrongtrackingKalmanFILTERANALYTICALLINEARIZATIONGas turbineHealth parameter estimationExtended Kalman filterUnscented Kalman filterStrong tracking Kalman filterAnalytical linearization

分類號： TN7[電子電信—電路與系統]