A method for fault diagnosis of power system of carrier rocket engine based on linear-quadratic receding time-domain algorithm

被引:6
作者
Zhang, Tong [1 ,2 ]
Zhao, Xiaohan [1 ]
Hu, Renyi [3 ]
Fu, Wenxing [2 ]
机构
[1] Northwestern Polytech Univ, Sch Astronaut, Xian, Peoples R China
[2] Northwestern Polytech Univ, Unmanned Syst Res Inst, Xian, Peoples R China
[3] Beijing Aerosp Automat Control Inst, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Carrier rocket; engines; fault diagnosis; power system; parameter estimation; quadratic receding time-domain algorithm;
D O I
10.1177/09544100211021805
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The article studies the fault diagnosis of the first-stage power system of a carrier rocket made up of multiple engines. It establishes the simplified 6-DOF nonlinear model and uses the extended Kalman filter to generate residual errors. The quadratic receding time-domain algorithm is used to detect faults, and estimation vector fault characteristics are used to estimate precisely the thrust loss degree. Faults are located with the direction of abrupt change in overload fault. The simulation results show that the method can quickly detect engine faults, estimate the thrust loss degree with fault estimation values, and locate precisely the serial number of the faulty engine of the power system made up of multiple engines. The method boosts the development of the online health management technology of the power system of a carrier rocket.
引用
收藏
页码:739 / 752
页数:14
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