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Model based estimation of inertial parameters of a rigid rotor having dynamic unbalance on Active Magnetic Bearings in presence of noise

机译:基于模型的刚性转子惯性参数估计,在噪声存在下具有动态磁轴承的动态不平衡

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Unbalance in rotors is known as the primary source of excitation, the state of unbalance changes over time and, therefore, industrial rotors require online or smart identification and attenuation of unbalance for smooth operation. To begin with, this paper proposes the use of Active Magnetic Bearings (AMBs) to identify the unbalance. Unbalance is defined as the location of centre of mass of the rotor and orientation of the axes of principal mass moments of inertia, both with respect to the spin-axis, assumed as the geometric axis of symmetry of rotor. Non-uniform distribution of mass makes a rotor dynamically unbalanced. The centre of mass shifts from the spin-axis and none of the principal axes of inertia is aligned with it. Dynamic behaviour of such a rotor is modelled by a set of differential equations with time varying coefficients. A rigid rotor is assumed to be supported on two AMBs with all known characteristics. A methodology based on modelling and simulation is proposed to determine the eccentricity and the orientation of the principal axes of inertia (angles of its skewness) by utilizing the force and response of the rotor recorded by each AMB. The median of simulated inertial properties are shown to be in close agreement with their actual values. The proposed methodology is also found robust enough in the presence of different types of simulated noise used to pollute signals from the bearings. Therefore, the methodology is suitable for online identification of inertial properties of a rotor.
机译:转子的不平衡被称为激发的主要源,随着时间的推移,不平衡的状态变化,因此,工业转子需要在线或智能识别和衰减不平衡,以便平衡操作。首先,本文建议使用主动磁轴承(AMB)来识别不平衡。不平衡被定义为相对于旋转轴相对于转子的几何对称轴的惯性惯性惯性惯性惯性惯性矩阵的转子和定向的位置。质量不均匀分布使转子动态不平衡。从旋转轴的质量换档中心,没有惯性轴的任何主轴与其对齐。这种转子的动态行为由具有时间变化系数的一组微分方程建模。假设具有所有已知特性的两个AMB上的刚性转子。提出了一种基于建模和模拟的方法来确定通过利用由每个AMB记录的转子的力和响应来确定偏心轴(其偏斜角)的主轴的取向。模拟惯性属性的中位数显示与其实际值密切一致。在不同类型的模拟噪声存在下,也发现所提出的方法已经足够强大,用于从轴承污染信号。因此,该方法适用于在线识别转子的惯性性质。

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