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Parameter Hierarchical Identification for Magnetic Bearing Control System Using Frequency Response Testing Method

机译:基于频率响应测试方法的电磁轴承控制系统参数层次辨识

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摘要

Active magnetic bearings which support rotors without any mechanical contact or lubrication are nowadays widely used in high-speed precision machinery. This paper presents a detailed description of the modeling methods for an active magnetic bearing used in magnetically suspended control moment gyroscopes. A combination of analytical modeling, model updating, and identification was employed to obtain an accurate model. A digital frequency response testing scheme was developed to get the frequency response data of each component in the active magnetic bearing control system. Model identifications based on parameter hierarchical identification principle were applied to obtain the actual model of the power amplifier module and the AMB-rotor module. The accuracy of the model identification was also verified. The experimental results show that model identification method presented in this paper is feasible and effective. The whole modeling and validation process renders an accurate model of a low order for designing a robust control system.
机译:如今,在没有任何机械接触或润滑的情况下支撑转子的有源电磁轴承已广泛用于高速精密机械中。本文详细介绍了用于磁悬浮控制力矩陀螺仪的有源磁轴承的建模方法。分析建模,模型更新和识别的组合被用来获得准确的模型。开发了一种数字频率响应测试方案,以获取有源电磁轴承控制系统中每个组件的频率响应数据。应用基于参数分层识别原理的模型识别,获得功率放大器模块和AMB转子模块的实际模型。模型验证的准确性也得到了验证。实验结果表明,本文提出的模型识别方法是可行和有效的。整个建模和验证过程为设计鲁棒的控制系统提供了低阶的准确模型。

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