Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence

Joint Authors

Ren, Jianxin
Zhang, Rui
Xu, Bin

Source

Journal of Sensors

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-10-04

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

This paper presents adaptive fuzzy finite time sliding mode control of microelectromechanical system gyroscope with uncertainty and external disturbance.

Firstly, fuzzy system is employed to approximate the uncertainty nonlinear dynamics.

Secondly, nonlinear sliding mode hypersurface and double exponential reaching law are selected to design the finite time convergent sliding mode controller.

Thirdly, based on Lyapunov methods, adaptive laws are presented to adjust the fuzzy weights and the system can be guaranteed to be stable.

Finally, the effectiveness of the proposed method is verified with simulation.

American Psychological Association (APA)

Ren, Jianxin& Zhang, Rui& Xu, Bin. 2016. Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence. Journal of Sensors،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1110330

Modern Language Association (MLA)

Ren, Jianxin…[et al.]. Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence. Journal of Sensors No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1110330

American Medical Association (AMA)

Ren, Jianxin& Zhang, Rui& Xu, Bin. Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1110330

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1110330