MEMS Gyroscope Random Error Modeling and Filtering

Abstract:

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MEMS gyroscope is a new type of inertial device with small size, low cost, light weight, high reliability, but less precise and random error is relatively large. In this paper, from a practical engineering application point of view, first, the MEMS gyroscope random errors is real-time average filtered. Then, based on the basic principle of time series analysis of random sequence , the first-order AR model of MEMS gyroscope random errors is established. Finally, based on Markov characteristic of kalman filtering algorithm, each output of the MEMS gyroscope is multiple real-time filtered. Through the specific data processing, MEMS gyroscope random errors reduced to about two per cent of the original.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

829-834

DOI:

10.4028/www.scientific.net/AMM.29-32.829

Citation:

B. Ren et al., "MEMS Gyroscope Random Error Modeling and Filtering", Applied Mechanics and Materials, Vols. 29-32, pp. 829-834, 2010

Online since:

August 2010

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Price:

$35.00

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