Comparative study of system identification approaches for adaptive tracking of MEMS gyroscope

Abstract

In this paper, a comparative study of adaptive vibration control approaches is presented for the system identification for microelectro-mechanical systems (MEMS) z-axis gyroscope. Two adaptive methodologies such as adaptive controller and adaptive sliding mode controller are developed and compared in the aspect of algorithm derivation and Lyapunov stability analysis. The proposed adaptive control approaches can estimate the angular velocity and the damping and stiffness coefficients including the coupling terms. Numerical simulations are investigated to verify the effectiveness of the proposed control schemes, demonstrating that the robust performance of the adaptive sliding mode control system has been improved in the presence of external disturbance compared with adaptive control.