一种改进的故障检测算法在组合导航中的应用  

A Novel Fault Detection Algorithm for Integrated Navigation System

作　　者：吴有龙[1,2] 王晓鸣[2] 曹鹏[2] 杨忠[1] 

机构地区：[1]金陵科技学院智能科学与控制工程学院,江苏南京211169 [2]南京理工大学机械工程学院,江苏南京210094

出　　处：《北京理工大学学报》2015年第5期494-499,共6页Transactions of Beijing Institute of Technology

摘　　要：为提高组合导航系统的容错性能,实时检测滤波器处理测量信息的有效性,针对组合导航系统突变故障的检测问题,提出了相应的改进算法.该算法不仅对系统层面上进行故障探测,而且对故障进行定位和隔离,分析了作为假设检验量的标准化残差之间的相关性强弱对故障正确定位的影响,由此对基于标准化残差的故障检测与隔离算法进行了改进,实现子系统内部故障的正确定位与隔离.实验结果表明,改进的算法能够更有效地利用多余观测量,从而提高组合导航系统的稳健性.To improve the fault tolerance performance of the integrated navigation system,it is necessary to have a mechanism to validate the filter measurements in real-time,to decide which parts of observations can be used to estimate the whole state.Therefore,real-time fault detection and isolation algorithm should be provided in the filter to guarantee the stability of the integrated navigation system.To detect and isolate abrupt faults problem in navigation system,an improved algorithm was proposed.The proposed algorithm was based on the local test of standard residual vector.The influence of correlation coefficient between any two test statistics on the probability of miss-identification was analyzed and used to improve the success rate of fault localization.It can not only detect the system error,but also identify the abrupt fault measurement so as to isolate it with a high success rate.The experimental results show that the proposed method can improve the integrated navigation system accuracy effectively by using the validated redundant observation.

关 键 词：组合导航 故障检测与隔离 标准化残差 相关系数 

分 类 号：V211[航空宇航科学与技术—航空宇航推进理论与工程]