Fuzzy Automatic Gain Controller for Drive Mode of MEMS Gyroscope

This paper investigates the performance of drive mode controller on the MEMS vibratory gyroscope. The controllers are designed to regulate and stabilize the vibration amplitude of the drive mode with an assumption that the excitation signal frequency and the natural frequency of the drive mode are constant. At first, the effect of a linear PI controller is studied on nonlinear model of MEMS gyroscope. Once again, the impact of nonlinear controller on the control of the drive mode amplitude is examined. For this purpose, two methods of nonlinear hyperbolic tangent function and fuzzy logic controller are used. In all processes of controller design, genetics algorithm is employed to calculate optimum coefficient in order to reduce settling time. Comparisons of simulation results show that fuzzy controller has the shortest settling time and the amplitude of the drive mode has no overshoot.