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Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator

Juntao Fei, Jian Zhou·2012·IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Abstract

In this paper, a robust adaptive control strategy using a fuzzy compensator for MEMS triaxial gyroscope, which has system nonlinearities, including model uncertainties and external disturbances, is proposed. A fuzzy logic controller that could compensate for the model uncertainties and external disturbances is incorporated into the adaptive control scheme in the Lyapunov framework. The proposed adaptive fuzzy controller can guarantee the convergence and asymptotical stability of the closed-loop system. The proposed adaptive fuzzy control strategy does not depend on accurate mathematical models, which simplifies the design procedure. The innovative development of intelligent control methods incorporated with conventional control for the MEMS gyroscope is derived with the strict theoretical proof of the Lyapunov stability. Numerical simulations are investigated to verify the effectiveness of the proposed adaptive fuzzy control scheme and demonstrate the satisfactory tracking performance and robustness against model uncertainties and external disturbances compared with conventional adaptive control method.

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Metadata

Authors
Fei, J., & Zhou, J.
Venue
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
Published
2012-12
Volume
42
Issue
6
Pages
1599-1607
ISSN
  • 1083-4419 (ISSN-L)
  • 1941-0492
OpenAlex
W2088216283
Cited by
164
References
1
FWCI
22.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator. https://app.cochat.ai/papers/10.1109/tsmcb.2012.2196039
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Fei, J., & Zhou, J. (2012). Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). https://doi.org/10.1109/tsmcb.2012.2196039

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