Nonlinear control in the system of AMB-flywheel rotor

Neural Network controlling is proposed on the strong nonlinear and instability caused by precession and nutation which are created by gyroscopic effect of AMB-Flywheel rotor system. At the same time, the paper has designed RBF Neural Network controller and proved stability of the system by Lyapunov function. It shows that the controller can solve the instability problem of flywheel rotor and restrain the damage of the system that noise cause. At last, the simulation is used to verify the effectiveness and feasibility of the proposed method to eliminate noise.