International Journal of Aeronautical and Space Sciences

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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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)
  • Received : 2012.08.08
  • Accepted : 2012.09.18
  • Published : 2012.09.30
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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.

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References

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