基于主动磁轴承的高速飞轮转子系统的非线性控制研究

针对控制力矩陀螺——主动磁轴承飞轮转子系统的强非线性和由陀螺效应产生的进动和章动导致系统的失稳问题,提出了神经网络的控制方案,设计了RBF神经网络控制器,并给出了李亚普诺夫函数的稳定性证明。研究表明,该控制器解决了陀螺效应导致的主动磁轴承-飞轮转子的不稳定性问题,且抑制了噪声对磁轴承稳定性所造成的破坏。最后,数值算例证明了该方法消除噪声的可行性和有效性。

The 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.