DocumentCode :
498387
Title :
Research and Simulation of a Fault Diagnosis and Tolerant Algorithm in Gravity Aided Inertial Navigation System
Author :
Xia, Bing ; Cai, Tijing ; Yang, Zhuopeng
Author_Institution :
Sch. of Instrum. Sci. & Eng., SEU, Nanjing, China
Volume :
2
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
459
Lastpage :
464
Abstract :
Considering the structure and characteristics of gravity aided navigation system and federal filter, the paper presents a new algorithm of the fault detection isolation and system reset. The new fault-tolerant algorithm changes the traditional fault judgment to the filtering convergence judgment. Based on this algorithm a new fault diagnosis and tolerant method is established, and the method is verified by the simulation of gravity aided inertial integrated navigation system with the new fault toleration algorithm. Simulation results show that the new fault diagnosis and tolerant algorithm can efficiently restrain the fault of the gravity measurement unit, play the gravity aided navigation subsystem for best results and enhance the system accuracy and fault-tolerant performance.
Keywords :
fault diagnosis; fault tolerance; filtering theory; inertial navigation; fault detection isolation; fault diagnosis; fault tolerant algorithm; filtering convergence judgment; gravity aided inertial navigation system; Change detection algorithms; Convergence; Fault detection; Fault diagnosis; Fluctuations; Gravity; Inertial navigation; Information filtering; Information filters; Pollution; fault detection and isolation (FDI); federal filter; gravity aided navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.373
Filename :
5209398
Link To Document :
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