摘要
针对组合导航系统故障诊断,在强跟踪滤波理论的基础上,对无迹卡尔曼(UKF)强跟踪滤波法进行了研究。UKF强跟踪滤波法兼具UKF和强跟踪滤波器的优点:较强的处理非线性问题的能力和强跟踪能力。最后,将该方法应用于组合导航系统故障诊断,设置不同的故障模式,与强跟踪滤波法进行了对比仿真研究。从仿真结果可看出,两种方法对硬故障的灵敏度接近,UKF强跟踪滤波法对软故障的灵敏度明显高于强跟踪滤波方法。由此证明UKF强跟踪滤波器对于突变状态具有强跟踪能力,对于缓变故障具有优于其他方法(强跟踪滤波)的敏感能力,提高了组合导航系统的精度、可靠性和安全性,可应用于工程实际。
Aiming to the fault detection of integrated navigation system,UKF strong tracking filter was researched based on the theory of strong tracking filter.UKF strong tracking filter had both advantages of UKF and strong tracking filter： powerful ability of deal with nonlinear problems and strong tracking ability.Finally,the method was used to the fault detection of integrated navigation system.Different fault models were set.The contrastive simulate study with strong tracking filter was done.It was found from the results that two methods had similar sensitivity for hard fault,and UKF strong tracking filter had higher sensitivity than strong tracking filter for soft fault.So,it was proved that UKF strong tracking filter had strong tracking ability for chopped fault and had better sensitive ability than other method for soft fault.It also improved the precision,reliability and security of integrated navigation system which could be used to the real project.
出处
《压电与声光》
CSCD
北大核心
2011年第6期901-905,共5页
Piezoelectrics & Acoustooptics
基金
国家自然科学基金资助项目(60304004)
空军工程大学教研新星培养计划基金资助项目
关键词
组合导航系统
强跟踪滤波
无迹卡尔曼(UKF)
故障诊断
灵敏度
integrated navigation system
strong tracking filter（STF）
unscented Kalman filter（UKF）
fault detection
sensitivity
