Research on re-entry vehicle integrated navigation

Author

Mu, Rongjun ; Han, Pengxin ; Cui, Naigang

Author_Institution

Dept. of Spacer Eng., Harbin Inst. of Technol., Harbin, China

fYear

2009

fDate

9-12 Aug. 2009

Firstpage

4145

Lastpage

4150

Abstract

Local symmetrical multi-fading fault tolerant filter and global hierarchical-multistage-rescale information fusion strategy with FDIR (Fault Detect, Isolate and Rescale) capability are presented to satisfy requests of high reliability and fault-tolerant ability which are put forward by multiple sensor navigation system of re-entry vehicle. By researching on characteristics of sensors and stages along the re-entry trajectory, the corresponding fusion strategy, methods to detect and isolate spent/failed sub-system are proposed. Result of simulation based on a specialized integrated navigation system INS/GPS/CNS/Doppler shows that the new optimizing fusion method has effectiveness and practicability.

Keywords

Global Positioning System; Kalman filters; fault diagnosis; inertial navigation; reliability; sensor fusion; transportation; INS/GPS/CNS/Doppler; fault detection; fault isolation; fault rescale; fault tolerant filter; fusion strategy; local symmetrical multifading filter; multiple sensor navigation system; re-entry trajectory; re-entry vehicle; reliability; vehicle integrated navigation; Fault detection; Fault tolerant systems; Global Positioning System; Information filtering; Information filters; Navigation; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Vehicles; hierarchical - multistage-rescale; information fusion; multi-sensor; re-entry vehicle;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2009. ICMA 2009. International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-2692-8

Electronic_ISBN

978-1-4244-2693-5

Type

conf

DOI

10.1109/ICMA.2009.5246572

Filename

5246572