Modeling and compensation for random drifting of piezoelectric gyroscope

Lei Lei Li; Ying Jun Pan; Yu Liu; Jian Xun Qiu

Modeling and compensation for random drifting of piezoelectric gyroscope

Lei Lei Li^*
, Ying Jun Pan
, Yu Liu
, Jian Xun Qiu

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Random drifting is an important index of piezoelectric gyroscope. Research on the modeling of gyroscope could compensate the random drift to a certain extent and improve the accuracy of the gyroscope. Using multi-resolution analysis of wavelet and hypothesis testing, the time sequence model of random drifting was founded. After filtering using Kalman approach, the variance of random drifting was obviously declined. The simulation results verified the efficiency of the model.

Original language	English
Pages (from-to)	270-272+279
Journal	Yadian Yu Shengguang/Piezoelectrics and Acoustooptics
Volume	29
Issue number	3
Publication status	Published - Jun 2007
Externally published	Yes

Keywords

Kalman filtering
Piezoelectric gyroscope
Random drifting
Wavelet analysis

Cite this

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title = "Modeling and compensation for random drifting of piezoelectric gyroscope",

abstract = "Random drifting is an important index of piezoelectric gyroscope. Research on the modeling of gyroscope could compensate the random drift to a certain extent and improve the accuracy of the gyroscope. Using multi-resolution analysis of wavelet and hypothesis testing, the time sequence model of random drifting was founded. After filtering using Kalman approach, the variance of random drifting was obviously declined. The simulation results verified the efficiency of the model.",

keywords = "Kalman filtering, Piezoelectric gyroscope, Random drifting, Wavelet analysis",

author = "Li, \{Lei Lei\} and Pan, \{Ying Jun\} and Yu Liu and Qiu, \{Jian Xun\}",

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AU - Li, Lei Lei

AU - Pan, Ying Jun

AU - Liu, Yu

AU - Qiu, Jian Xun

PY - 2007/6

Y1 - 2007/6

N2 - Random drifting is an important index of piezoelectric gyroscope. Research on the modeling of gyroscope could compensate the random drift to a certain extent and improve the accuracy of the gyroscope. Using multi-resolution analysis of wavelet and hypothesis testing, the time sequence model of random drifting was founded. After filtering using Kalman approach, the variance of random drifting was obviously declined. The simulation results verified the efficiency of the model.

AB - Random drifting is an important index of piezoelectric gyroscope. Research on the modeling of gyroscope could compensate the random drift to a certain extent and improve the accuracy of the gyroscope. Using multi-resolution analysis of wavelet and hypothesis testing, the time sequence model of random drifting was founded. After filtering using Kalman approach, the variance of random drifting was obviously declined. The simulation results verified the efficiency of the model.

KW - Kalman filtering

KW - Piezoelectric gyroscope

KW - Random drifting

KW - Wavelet analysis

UR - https://www.scopus.com/pages/publications/34447321848

M3 - Article

AN - SCOPUS:34447321848

SN - 1004-2474

VL - 29

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JO - Yadian Yu Shengguang/Piezoelectrics and Acoustooptics

JF - Yadian Yu Shengguang/Piezoelectrics and Acoustooptics

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ER -

Modeling and compensation for random drifting of piezoelectric gyroscope

Abstract

Keywords

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