结合主元分析与组合导航的容错算法  

A Fault-Tolerant Algorithm Combining Principal Component Analysis with Integrated Navigation

作　　者：吴磊[1] 姜南 奔粤阳[1] 王坤 WU Lei;JIANG Nan;BEN Yueyang;WANG Kun(College of Automation,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学自动化学院,哈尔滨150001

出　　处：《电光与控制》2020年第7期95-100,共6页Electronics Optics & Control

基　　金：国家自然科学基金(61503090)。

摘　　要：多传感器组合导航系统的容错性能是其基本要求。为提高组合导航系统对突变和渐变型故障的检测能力,设计了一种结合主元分析与组合导航的容错算法。详细介绍了多传感器组合导航系统理论,具体介绍了基于主元分析的故障检测与辨识,并对该组合导航系统的容错性能进行分析。实验结果表明,结合主元分析与组合导航的容错算法对导航传感器的突变型和渐变型故障均具有很好的检测能力,对导航系统的容错性能有明显的改善。Fault tolerance is a basic requirement of the multi-sensor integrated navigation system.In order to improve the ability of the integrated navigation system to detect abrupt and gradual faults a fault-tolerant algorithm combining principal component analysis with integrated navigation is designed.The theory of multi-sensor integrated navigation system is introduced in detail and the fault detection and identification based on principal component analysis are introduced in detail.The fault tolerance performance of the integrated navigation system is analyzed.The experimental results show that the fault-tolerant algorithm which combines principal component analysis with integrated navigation has good detection ability for both the abrupt and gradual faults of the navigation sensor and the fault-tolerant performance of the navigation system is obviously improved.

关 键 词：故障检测 主元分析 组合导航 卡尔曼滤波 

分 类 号：V249.328[航空宇航科学与技术—飞行器设计]