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自适应滤波方法在陀螺软故障检测中的应用 被引量:4

Application of Adaptive Estimation Test Method for Redundant Navigation System
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摘要 采用自适应滤波方法对影响故障检测及隔离(FDI)性能的传感器误差进行了补偿,同时提出了故障检测与隔离的自适应滤波方法(AET)。该方法可以对多个传感器同时出现故障的情况进行检测与隔离。文中以六个陀螺冗余惯性导航系统的仿真结果验证了该算法的有效性。 Adaptive estimation test (AET) is proposed to detect and isolate the failure. AET is also proposed to estimate the combinations of sensor errors affecting the parity vector and to form a compensated parity vector. The compensated parity vector is used to make FDI decision for improving FDI performance. To illustrate its application, the AET approach is applied to detect and isolate the failure of an optimal mounting configuration of six single-degree-of-freedom sensors. Some results are obtained by comparing AET method with Separated-bias estimation (SBE) method. Simulation results prove that AET method can detect and isolate the failure more effectively than SBE method when several sensors fail simultaneously.
作者 彭蓉 秦永元
出处 《中国惯性技术学报》 EI CSCD 2005年第1期81-85,共5页 Journal of Chinese Inertial Technology
关键词 传感器误差 故障检测与隔离 自适应滤波 奇偶向量 sensor errors fault detection and isolation adaptive estimation parity vector
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  • 1秦永元,卡尔曼滤波与组合导航原理,1998年

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