Adaptive Estimation and Control of a Z-Axis MEMS Gyroscope With Time-Varying Rotation Rates

Lili Dong

doi:10.1109/ICAS.2006.8

Adaptive Estimation and Control of a Z-Axis MEMS Gyroscope With Time-Varying Rotation Rates

Lili Dong

IEEE

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

Abstract

This paper presents a new adaptive control algorithm to control the sense axis of a Z-axis MEMS gyroscope. A force-to-rebalance mode of operation is applied to the sense axis. Under this mode, the output amplitude of sense axis is continuously monitored and driven to zero by the controller while an input rotation rate is measured. Adaptive laws are developed to estimate the rotation rate and a quadrature error term caused by mechanical imperfection. In the paper, we suppose the rotation rate of the gyroscope is an unknown time-varying piecewise continuous parameter, rather than a constant as in current literature. A Lyapunov approach is applied to obtain both control and adaptive laws. © 2006 IEEE.

Original language	American English
Journal	2006 International Conference on Autonomic and Autonomous Systems, ICAS'06
DOIs	https://doi.org/10.1109/ICAS.2006.8
State	Published - Dec 1 2006
Externally published	Yes

Disciplines

Electrical and Computer Engineering

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10.1109/ICAS.2006.8License: CC BY

https://ieeexplore.ieee.org/document/1690228

Cite this

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abstract = " This paper presents a new adaptive control algorithm to control the sense axis of a Z-axis MEMS gyroscope. A force-to-rebalance mode of operation is applied to the sense axis. Under this mode, the output amplitude of sense axis is continuously monitored and driven to zero by the controller while an input rotation rate is measured. Adaptive laws are developed to estimate the rotation rate and a quadrature error term caused by mechanical imperfection. In the paper, we suppose the rotation rate of the gyroscope is an unknown time-varying piecewise continuous parameter, rather than a constant as in current literature. A Lyapunov approach is applied to obtain both control and adaptive laws. {\textcopyright} 2006 IEEE.",

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N2 - This paper presents a new adaptive control algorithm to control the sense axis of a Z-axis MEMS gyroscope. A force-to-rebalance mode of operation is applied to the sense axis. Under this mode, the output amplitude of sense axis is continuously monitored and driven to zero by the controller while an input rotation rate is measured. Adaptive laws are developed to estimate the rotation rate and a quadrature error term caused by mechanical imperfection. In the paper, we suppose the rotation rate of the gyroscope is an unknown time-varying piecewise continuous parameter, rather than a constant as in current literature. A Lyapunov approach is applied to obtain both control and adaptive laws. © 2006 IEEE.

AB - This paper presents a new adaptive control algorithm to control the sense axis of a Z-axis MEMS gyroscope. A force-to-rebalance mode of operation is applied to the sense axis. Under this mode, the output amplitude of sense axis is continuously monitored and driven to zero by the controller while an input rotation rate is measured. Adaptive laws are developed to estimate the rotation rate and a quadrature error term caused by mechanical imperfection. In the paper, we suppose the rotation rate of the gyroscope is an unknown time-varying piecewise continuous parameter, rather than a constant as in current literature. A Lyapunov approach is applied to obtain both control and adaptive laws. © 2006 IEEE.

UR - https://engagedscholarship.csuohio.edu/enece_facpub/485

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DO - 10.1109/ICAS.2006.8

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JO - 2006 International Conference on Autonomic and Autonomous Systems, ICAS'06

JF - 2006 International Conference on Autonomic and Autonomous Systems, ICAS'06

ER -

Adaptive Estimation and Control of a Z-Axis MEMS Gyroscope With Time-Varying Rotation Rates

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