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Journal of Sensors
Volume 2016, Article ID 1572303, 7 pages
Research Article

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

School of Automation, Northwestern Polytechnical University, Xi’an 710129, China

Received 25 April 2016; Accepted 18 July 2016

Academic Editor: José A. Somolinos

Copyright © 2016 Jianxin Ren et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.