应用变步长自动学习控制的磁轴承系统多频振动抑制

Hongbo Sun, Dong Jiang, Jianfu Ding, Jichang Yang
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引用次数: 2

摘要

主动磁轴承(AMB)已广泛应用于高速旋转、高精度加工等场合。在旋转过程中,可提供主动控制力来抵消离心力和其他干扰,从而抑制振动。提出了一种基于变步长自动学习控制(VALC)的振动补偿策略。首先,建立了径向电磁轴承的二自由度模型。分析了离心力与同步振动的相位误差。然后,介绍了VALC的原理和过程。采用广义陷波滤波器获得同步振动和谐波振动。其次,基于基于VALC的AMB控制系统进行了仿真。仿真结果表明了补偿策略的可行性。在实验台上进行了基于VALC的减振同步和谐波实验。振动信号的频谱分析表明,振动减少了约90%,证明了所提出的振动补偿策略的有效性。
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Multifrequency Vibration Suppression of Magnetic Bearing Systems Applied Variable Step-size Automatic Learning Control
Active Magnetic Bearing (AMB) has been widely applied in occasions acquire high-speed rotating, high-precision machining, and so on. The AMB can provide active control force to offset centrifugal force and other disturbance to suppress vibration while rotating. This paper proposed a strategy to compensate vibration in AMB system based on Variable Step-size Automatic Learning Control (VALC). Firstly, a two degrees of freedom model of radial AMB is established. Phase error between of centrifugal force and synchronous vibration is analyzed. Then, principle and process of VALC is introduced. A generalized notch filter is applied to obtain synchronous and harmonic vibration. Next, simulations are carried out based on AMB control system applied VALC. The results of simulations show the feasibility of the compensating strategy. Experiments to reduce synchronous and harmonic vibration based on VALC are carried out on a test rig. Spectrums of vibration signals show that vibration is reduced by about 90%, which demonstrates the effectiveness of proposed strategy for vibration compensation.
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