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

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. © 2016 jianxin ren et al.