Intelligent Robust Control of MEMS Gyroscopes with Initial Conditions Independent Prescribed Performance

The intelligent robust control with initial conditions independent prescribed performance is addressed in this paper to control the dynamics of MEMS gyroscopes. To accurately approximate system uncertainties and disturbances resulted from dynamic environment, the composite fuzzy learning works together with the disturbance observer. Considering the system output constraint due to the physical limits and mechanical structure, the asymmetric prescribed performance control with the time-varying initial condition independent barrier function is designed. To further improve the system robustness, the recursive integral terminal sliding mode function is utilized to reduce the chattering. Finally, the simulations are implemented to verify that MEMS gyroscopes are with the prescribed performance and higher tracking performance in the presence of uncertainties and disturbances.