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http://dx.doi.org/10.5139/IJASS.2012.13.3.398

A Fault Detection Method of Redundant IMU Using Modified Principal Component Analysis  

Lee, Won-Hee (School of Mechanical and Aerospace Engineering/Automation and Systems Research Institute, Seoul National University)
Park, Chan-Gook (School of Mechanical and Aerospace Engineering/Automation and Systems Research Institute, Seoul National University)
Publication Information
International Journal of Aeronautical and Space Sciences / v.13, no.3, 2012 , pp. 398-404 More about this Journal
Abstract
A fault detection process is necessary for high integrity systems like satellites, missiles and aircrafts. Especially, the satellite has to be expected to detect faults autonomously because it cannot be fixed by an expert in the space. Faults can cause critical errors to the entire system and the satellite does not have sufficient computation power to operate a large scale fault management system. Thus, a fault detection method, which has less computational burden, is required. In this paper, we proposed a modified PCA (Principal Component Analysis) as a powerful fault detection method of redundant IMU (Inertial Measurement Unit). The proposed method combines PCA with the parity space approach and it is much more efficient than the others. The proposed fault detection algorithm, modified PCA, is shown to outperform fault detection through a simulation example.
Keywords
FDI; Inertial Sensor; Redundant IMU; PCA; Parity Space;
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