摘要
故障检测/隔离对于保证组合导航系统的高可靠性是十分重要的。本文提出了一种用于GPS/SINS故障检测/隔离的神经元方法,根据状态、残差两种χ2检验法的实时结果检测故障,然后用一个ARTMAP模型确定故障所在位置,进行故障隔离。通过仿真,证明了这种方法的有效性。
Fault detection/isolation is very important in ensuring the high reliability of integrated navigation systems.This paper presents a neuron approach to detect/isolate the faults in the integrated GPS/SINS navigation system.The system detects the faults according to the online results of the state chisquare test and the residual chisquare test,then an ARTMAP neural network model identifies the location of the fault and isolates it.Simulation results prove that this method is available.
出处
《中国惯性技术学报》
EI
CSCD
1999年第3期40-43,共4页
Journal of Chinese Inertial Technology
基金
国防科技预研基金