Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence. (4th October 2016)

• Record Type: Journal Article
• Authors: Ren, Jianxin; Zhang, Rui; Xu, Bin
• Other Names: Somolinos José A. Academic Editor.
• Is Part Of: Journal of sensors. Volume 2016(2016)
• Publication Date: 2016-10-04
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2016/1572303
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : 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.