局部加权的LS-SVM大气数据组合导航故障检测

针对飞机惯性导航设备发生故障,原容错系统失效,而且一般最小二乘支持向量机(LSSVM)检测算法不能有效处理局部预测的问题,提出一种基于局部加权LS-SVM故障检测法。对LS-SVM进行局部加权处理,用局部加权LS-SVM回归预测滤波器新息,并重构检验统计量,结合ADS/GNSS组合系统进行仿真验证。仿真结果表明:在全局容错系统失效情况下,基于局部加权LS-SVM故障检测法具有良好的预测效果,减少了故障检测时间,降低了虚警率。

Fault Detection Algorithm Based on Local Weighted LS-SVM for ADS Integrated Navigation System

Aimed at the problem of the previous fault-tolerant system and that the ordinary least squares support vector machine (LS-SVM) can not effectively perform local detection when a trouble appears in the inertial navigation system of aircraft, a fault detection method based on local weighted LS-SVM is proposed.Firstly, the LS-SVM is locally weighted. Then the innovation of filter by the forecasted innovation of the local weighted LS-SVM regression is used for the test statistics. At last,based on the ADS/GNSS system platform, a simulation is done and analyzed. The result shows that the local weighted LS-SVM fault detection algorithm is good in detection effect, and by using this algorithm the fault detection time and fault isolation rate are reduced greatly.