Multi-DOF rotor model based measurement of stiffness and damping for active magnetic bearing using multi-frequency excitation

Kejian, Jiang; Zhu, Changsheng; Chen, Liangliang; Qiao, Xueguang

doi:10.1016/j.ymssp.2015.02.013

Cited by 22 publications

(11 citation statements)

References 7 publications

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“…The hydrodynamic oil film forces can be obtained from the 2-D Reynolds equation with the use of the lubricant pressure distribution. Reynolds equations for both inner and outer lubricant films can be expressed as: (10) where p and  represents the lubricant film pressure and viscosity; the subscripts in and ou denote the parameters of inner and outer oil films, respectively. Journal and floating ring bearing parameters are differentiate with the subscripts jr and rn.…”

Section: Forces Of Bearingmentioning

confidence: 99%

“…Identification procedures of other bearing types are also found in various earlier works. A method with multi-frequency excitation for measurement of equivalent stiffness and damping of active magnetic bearing rotor was presented by Jiang et al [10]. Based on the unbalance response [11,12] and frequency characteristics [13], similar kinds of magnetic bearing parameter identification approaches were presented.…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Bearing Parameter Identification Approach Using A Nonlinear Optimisation Scheme

Mutra

Srinivas

2019

IJAME

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In system identification process, efficient global optimisation schemes play a vital role. In the present work, an effective optimisation-based identification methodology of bearing stiffness and damping coefficients using the bearing response data is proposed. The flexible rotor is initially analysed by finite element model with nonlinear bearing forces. The dynamic equations of rotor are solved to obtain the bearing responses in frequency domain at different operating speeds. The equivalent speed dependent parameters of stiffness and damping are then obtained by solving an error-based optimal formulation via modified particle-swarm optimisation scheme. The robustness of the approach is tested with added input noise. The approach is illustrated with the simulation results of rotor supported on full floating ring bearings and using an experimental data obtained from a rotor supported on two similar journal bearings. The error in identification is not exceeding five percent. The modified particle swarm optimisation is converging faster, and it is taking less computational time. The results are shown in the forms of graphs and tables.

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Section: Forces Of Bearingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Integrated Bearing Parameter Identification Approach Using A Nonlinear Optimisation Scheme

Mutra

Srinivas

2019

IJAME

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“…18,19 These two methods are suitable for two different test conditions: laboratory and field identification. 20,21 The excitation identification methods include single-frequency twice excitation method, 22,23 multi-frequency excitation method, [24][25][26][27] broadband excitation method, 23 etc. Wang et al 28 used the additional unbalance excitation method to identify the dynamic coefficients of highspeed water-lubricated hybrid bearings.…”

Section: Introductionmentioning

confidence: 99%

Identification method of dynamic characteristics coefficients of tilting pad bearing in critical speed range of large unit

Chen

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part J:

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For tilting pad bearing of large unit, it is not easy to identify stiffness and damping coefficients in full-size unit test. Because of many limiting factors in large unit test, the stiffness and damping test methods are not fully applicable to large units, which can be easily implemented in laboratory. The nonexcitation methods are proposed in this paper to identify the stiffness and damping coefficients of tilting pad bearing in the critical speed range of large unit, including direct method and iterative method. Firstly, the rotor speed and vibration during the whole period are obtained. The vibration data of the first-order critical speed range in the startup stage are selected, and the stiffness and damping coefficients of tilting pad bearing are identified through the two methods. The results show that the stiffness and damping coefficients identified through the direct method are generally less than the theoretical values. The identification error of stiffness coefficient is within ±9%, and the identification accuracy of stiffness coefficient is significantly higher than that of damping coefficient. The damping coefficient identified by the iterative method agrees well with the theoretical value, and the identification error is about −3%. In conclusion, the stiffness and damping coefficients of tilting pad bearing in the range of first-order critical speed can be obtained by combining the two identification methods. These identification results are relatively reliable and can basically meet the analysis requirements of important vibration problems of bearing-rotor system.

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“…[5,6]. A method with multi-frequency excitation for measurement of equivalent stiffness and damping of the active magnetic bearing rotor was presented [7]. From the unbalance response [8,9] and frequency characteristics [10], similar kinds of magnetic bearing parameter identification approaches were found.…”

Section: Introductionmentioning

confidence: 99%

An optimized bearing parameter identification approach from vibration response spectra

Mutra¹,

Srinivas²

2019

J. vibroeng.

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In the present work, an effective identification methodology bearing dynamic parameters using measured vibration responses at the bearing is proposed. The flexible rotor is analyzed by using finite element beam model with nonlinear hydrodynamic bearing forces due to floating ring bearing supports. The frequency domain responses at different operating speeds are initially obtained in both the lateral directions. The error function is formulated as an average difference in amplitudes of two lateral displacements at a bearing node with known reference signals over a frequency range. The design variables are the speed dependent direct and cross-coupled stiffness and damping parameters of the bearing. With the side constraints on the variables, the error is minimized by using a modified particle swarm optimization scheme. The accuracy of the approach is tested with noisy input signals.

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Multi-DOF rotor model based measurement of stiffness and damping for active magnetic bearing using multi-frequency excitation

Cited by 22 publications

References 7 publications

An Integrated Bearing Parameter Identification Approach Using A Nonlinear Optimisation Scheme

An Integrated Bearing Parameter Identification Approach Using A Nonlinear Optimisation Scheme

Identification method of dynamic characteristics coefficients of tilting pad bearing in critical speed range of large unit

An optimized bearing parameter identification approach from vibration response spectra

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