基于改进变步长LMS算法的储能飞轮主动磁轴承-转子系统振动控制

Vibration Control of Energy Storage Flywheel Active Magnetic Bearing-Rotor System Based on Improved Variable Step Size LMS Algorithm

针对储能飞轮主动磁轴承-转子系统的振动控制,在变步长最小均方差(LMS)算法的基础上采用一种改进的步长因子并对其可变参数和算法效果进行对比分析,改进算法在提高迭代收敛速度的同时还能保持一定的稳态误差。对基于有限铁木辛柯梁单元法建立的轴承-转子系统动力学模型的仿真结果表明,在转子的振动位移反馈信号进入控制器前,利用基于改进步长因子LMS算法的自适应滤波器可以有效识别并滤除与转子同频的信号分量,从而实现储能飞轮主动磁轴承-转子系统的不平衡振动控制。

For vibration control of energy storage flywheel active magnetic bearing-rotor system,an improved step size factor is adopted based on variable step size least mean square(LMS)algorithm,and its variable parameters and algorithm effects are compared and analyzed.The improved algorithm can improve the iterative convergence speed and keep a certain steady-state error.The simulation results of dynamic model of the bearing-rotor system based on finite Timoshenko beam element method show that the adaptive filter based on improved step size factor LMS algorithm can effectively identify and filter out the signal components with same frequency as rotor before vibration displacement feedback signal of rotor enters the controller,realizing the unbalanced vibration control of the bearing-rotor system.