Estimating Gyro Drift of Strapdown Inertial Navigation System Based on Star Sensor

Guang Tao Zhou; Gui Min Shi; Lei Zhang; Kai Li

doi:10.4028/www.scientific.net/AMR.566.235

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 566Estimating Gyro Drift of Strapdown Inertial...

Estimating Gyro Drift of Strapdown Inertial Navigation System Based on Star Sensor

Abstract:

In the strapdown inertial navigation system (SINS), gyro drift will result in navigation errors. A new algorithm based on star sensor is proposed in this paper to estimate gyro drift. The paper analyzed the working principle of star sensor and the technique of estimating gyro drift. Gyro drift can be estimated through the high-precision attitude information provided by a star sensor. Kalman filter is used in the integrated navigation model. Simulation results show that the proposed algorithm can estimate gyro drift accurately and improve the precision of SINS.

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Periodical:

Advanced Materials Research (Volume 566)

Pages:

235-238

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.566.235

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Online since:

September 2012

Authors:

Guang Tao Zhou, Gui Min Shi, Lei Zhang, Kai Li

Keywords:

Gyro Drift, Kalman Filter (KF), Star Sensor, Strapdown Inertial Navigation System (INS)

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