国防科技大学学报2017，Vol.39Issue(5)：80-89,10.DOI:10.11887/j.cn.201705014
运载火箭伺服机构故障检测与诊断的扩展多模型自适应方法
Extended multiple model adaptive method for fault detection and diagnosis of launch vehicle's servo mechanism
摘要
Abstract
Aiming at the servo mechanism fault of launch vehicle,a FDD (fault detection and diagnosis) based on extended multiple model adaptive estimation was proposed.Attitude dynamic model of launch vehicle considering servo mechanism fault was established;the fault angle was used as the state variable to obtain the augmented state space model;the nonlinear estimation of state vectors and fault parameters was carried out by using the extended Kalman filter,and based on the sensor measurement data,the occurrence probability of faults was calculated by the hypothesis testing algorithm;the fault detection and diagnosis procedure based on the extended multiple model adaptive estimation was presented.Simulation results shows that,not only the health monitoring of the servo mechanism can be carried out by the algorithm without fault,but also under single servo mechanism fault,the core servo mechanism whose fault appeared can be timely and exactly detected through the algorithm,and the angle of nozzle under servo mechanism fault can be estimated accurately.关键词
运载火箭/伺服机构/多模型自适应估计/故障检测与诊断Key words
launch vehicle/servo mechanism/multiple model adaptive estimation/fault detection and diagnosis分类
信息技术与安全科学引用本文复制引用
程堂明,李家文,陈宇,唐国金..运载火箭伺服机构故障检测与诊断的扩展多模型自适应方法[J].国防科技大学学报,2017,39(5):80-89,10.基金项目
国家部委基金资助项目(51320120111) （51320120111）
