转子振动的前馈自学习控制

Feedforward Learning Control of Rotor Vibration

针对转子轴承系统由不平衡引起的振动，提出不需建立对象数学模型、能够在转子工作转速下进行实时在线主动控制的前馈自学习控制方法。对这种控制方法在转子不停车的情况下自动实现不平衡振动的识别和控制过程的理论及算法进行了论述和推导。最后在单盘对称转子轴承系统上进行了实验验证，实验结果证明该基于减振原理的控制方法对不平衡振动具有较好的抑制能力。

In this paper the feedforward learning control (FFLC) is presented to attenuate the rotor vibration caused by the unbalance. With FFLC, the mathematic model of rotor bearing system is not requird. Rotor can be automatically balanced at rotating speed. The theory, algorithm and realization process for automatic online identification of unbalancing response and design of control parameters are deduced .Finally the FFLC approch is applied to a rotor bearing test rig with single disc. The experiment results confirm that FFLC can make unbalance response be greatly attenuated.