Abstract: A sliding mode controller is presented to deal with the parametric uncertainties, external disturbances and the sector input nonlinearities of the microelectromechanic system (MEMS) triaxial gyroscope, which could reduce the detection precision of the MEMS gyroscope. The upper bounds of parametric uncertainties and external disturbances are estimated by using a novel integral adaptive algorithm based on the timevarying deadzone technique which can avoid overestimating, and the effect of the sector input nonlinearities is eliminated by adopting the appropriate control law, so as to make the motion of the MEMS gyroscope triaxial axes to track the specified refence trajectory, improving the detection precision. Finally, the asymptotic stability of the closedloop error system as well as boundedness of all the signals are analyzed and proved via the Lyapunov’s direct method. The numerical simulations are performed to verify the effectiveness of the presented schemes.