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Dynamic modeling method for active magnetic bearings-rotor system of steam turbines

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Abstract

As oil-free rotor support technology, active magnetic bearings (AMBs) are increasingly applied in turbinmachinery, including steam turbines. The compact multiple disksrotor bearing system of maglev steam turbines leads to complicated dynamic behaviors, which is the basis of AMBs controllers design. In this paper, an analytical modeling method is proposed to describe the dynamic characteristics of AMBs-rotor system of maglev steam turbines. The analytic rotor dynamic model consists of multiple rigid disks on a flexible shaft and AMBs. In modeling the rotor bearing system, the flexible shaft is discretized by Euler Bernoulli beam elements. The connection between rigid disks and flexible shaft is equivalent to spring dampers. Angular stiffness and angular damping coefficients are introduced to model the spring dampers and identified by 3D finite element simulation results. The bearings force takes the control system of AMBs into consideration. Moreover, experiments of a test rig are carried out. The results show that the proposed analytical rotor dynamic modeling method is effective.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant 51707201, Grant 51690181 and Grant 51825703.

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Authors and Affiliations

  1. National Key Laboratory for Vessel Integrated Power System Technology, Naval University of Engineering, Wuhan, 430033, China

    Chao Wu, Zhenzhong Su, Dong Wang & Hao Jiang

Authors
  1. Chao Wu
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  2. Zhenzhong Su
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  3. Dong Wang
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  4. Hao Jiang
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Corresponding author

Correspondence to Zhenzhong Su.

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Chao Wu was born in Anqing, Anhui, China, in 1994. He received the B.S. degree in Department of Automation from Tsinghua University, Beijing, China, in 2017. He is currently working towards Ph.D. degree in National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, China. His current research interests include modeling and control of magnetic bearings.

Zhenzhong Su was born in Juancheng, Shandong, China, in 1989. He received the B.S. degree in Electrical Engineering from Shandong University, Jinan, China, in 2010, and the Ph.D. degree in Electrical Engineering from Naval University of Engineering, Wuhan, China, in 2016. He is currently an Associate Researcher at Naval University of Engineering. His research interests include magnetic bearing and integrated power generation systems.

Dong Wang was born in Wuhan, China, in 1978. He received the B.Eng. and Ph.D. degrees in Electrical Engineering from Naval University of Engineering, Wuhan, China, in 2000 and 2007, respectively. He is currently a Professor and a Supervisor for doctoral candidates at Naval University of Engineering. His research interests include electric propulsion and integrated power generation systems.

Hao Jiang was born in Huanggang, Hubei, China, in 1995. He received the B.S. degree in Navigation Engineering, and the M.S. degree in Electrical Engineering from Naval University of Engineering, Wuhan, China, in 2016 and 2018, respectively. He is currently working towards Ph.D. degree in National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, China. His current research interests include modeling and design of magnetic bearings.

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Wu, C., Su, Z., Wang, D. et al. Dynamic modeling method for active magnetic bearings-rotor system of steam turbines. J Mech Sci Technol 37, 1665–1673 (2023). https://doi.org/10.1007/s12206-023-0308-x

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  • DOI: https://doi.org/10.1007/s12206-023-0308-x

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