A North Finder Scheme for FOG SINS Based on Kalman Filtering

Wei Zhen Zheng; Gong Liu Yang; Kui Zhang; Ren Dong Ma

doi:10.4028/www.scientific.net/AMM.644-650.4040

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650A North Finder Scheme for FOG SINS Based on Kalman...

A North Finder Scheme for FOG SINS Based on Kalman Filtering

Abstract:

In the background of using SINS technology to the car north finder, how to use FOG SINS in-vehicle vibration environment to obtain accurate initial attitude information is analyzed. Based on two-point north finder algorithm, north finder algorithm and kalman filtering algorithm are combined, and the north finder scheme for FOG SINS based on kalman filtering is studied. Simulation results show that, the scheme can accelerate the estimation of gyro bias and accelerometer bias, and effectively filter out short-term disturbances. This scheme can obtain accurate high-precision attitude information in the disturbance environment.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4040-4043

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4040

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Online since:

September 2014

Authors:

Wei Zhen Zheng*, Gong Liu Yang, Kui Zhang, Ren Dong Ma

Keywords:

FOG SINS, In-Vehicle Disturbance, Kalman Filtering, North Finder

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* - Corresponding Author

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