Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Vibration suppression control for AMB system based on static learning process and feedforward current compensation

  • Caiyong Ye (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology) ;
  • Jintao Lu (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology) ;
  • Shanming Wan (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology) ;
  • Xiaodong Qi (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology)
  • Received : 2023.07.11
  • Accepted : 2023.11.24
  • Published : 2024.04.20
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Abstract

Synchronous vibration caused by rotor eccentricity is an important obstacle to the development of an active magnetic bearing (AMB) system. To solve this problem, a novel autobalancing control strategy has been proposed, which includes a static learning process and dynamic feedforward current injection process. In this algorithm, a dynamic response process under unbalanced force is simulated by a static learning process. Then, a transfer function containing amplitude and phase information is obtained. According to the obtained transfer function information, a specific feedforward current is constructed to eliminate the synchronous component in the control current and realize the autobalancing of vibration displacement. Computational complexity compared with conventional control strategies is further investigated. Moreover, the velocity sensor is no longer needed in the proposed control strategy. The simulation and experimental results of the AMB system show that the synchronous component of the control current and the amplitude of the rotor vibration displacement can be significantly reduced.

Keywords

Acknowledgement

This research was supported in part by the National Natural Science Foundation of China under Grant 52077087.

References

  1. Lu, J., Ye, C., Wan, S., et al.: Improved active disturbance rejection control for AMB flywheel system based on inverse system. Int. J. Dynam. Control (2023). https://doi.org/10.19595/j.cnki.1000-6753.tces. 161866
  2. Dianov, A.: Estimation of the Mechanical Position of Reciprocating Compressor for Silent Stoppage. IEEE Open J Power Electron. 1, 64-73 (2020) https://doi.org/10.1109/OJPEL.2020.2978300
  3. Fang, J., Zheng, S., Han, B.: AMB vibration control for structural resonance of double-gimbal control moment gyro with high-speed magnetically suspended rotor. IEEE/ASME Trans. Mechatron. 18(1), 32-43 (2013) https://doi.org/10.1109/TMECH.2011.2161877
  4. Sun, H., Jiang, D., Yang, J.: Current vibration suppression of magnetic bearing systems based on phase shift generalized integrator. J. Vib. Eng. Technol. 9, 1745-1754 (2021) https://doi.org/10.1007/s42417-021-00325-7
  5. Liangliang, C., Changsheng, Z., Zhongbo, W.: Two-degree-offreedom control for active magnetic bearing flywheel rotor system based on inverse system decoupling. Trans China Electrotech. Soc. 32(23), 100-114 (2017)
  6. Yang, K., Hu, Y., Wu, H., Zhou, J., Xiao, W.: Harmonic vibration suppression of maglev rotor system under variable rotational speed without speed measurement. Mechatronics 91, 102956 (2023)
  7. Ma, X., Zheng, S., Wang, K.: Active surge control for magnetically suspended centrifugal compressors using a variable equilibrium point approach. IEEE Trans. Industr. Electron. 66(12), 9383-9393 (2019) https://doi.org/10.1109/TIE.2019.2891412
  8. Chuan, M., Changsheng, Z.: Unbalance compensation for active magnetic bearing rotor system using a variable step size real-time iterative seeking algorithm. IEEE Trans. Industr. Electron. 65(5), 4177-4186 (2018) https://doi.org/10.1109/TIE.2017.2772144
  9. Herzog, R., Buhler, P., Gahler, C., et al.: Unbalance compensation using generalized notch filters in the multivariable feedback of magnetic bearings. IEEE Trans. Control. Sys. Tech. 4(5), 580-586 (1996) https://doi.org/10.1109/87.531924
  10. Chao, L., Gang, L.: Autobalancing control for MSCMG based on sliding-mode observer and adaptive compensation. IEEE Trans. Industr. Electron. 63(7), 4346-4356 (2016)
  11. Zheng, S., Han, B., Feng, R., et al.: vibration suppression control for AMB supported motor driveline system using synchronous rotating frame transformation. IEEE Trans. Industr. Electron. 62(9), 5700-5708 (2015) https://doi.org/10.1109/TIE.2015.2407857
  12. Zheng, S., Chen, Q., Ren, H.: Active balancing control of AMBrotor systems using a phase-shift notch filter connected in parallel mode. IEEE Trans. Industr. Electron. 63(6), 3777-3785 (2016) https://doi.org/10.1109/TIE.2016.2522948
  13. Cui, P., Li, S., Wang, Q., Gao, Q., Cui, J., Zhang, H.: Harmonic current suppression of an amb rotor system at variable rotation speed based on multiple phase-shift notch filters. IEEE Trans. Industr. Electron. 63(11), 6962-6969 (2016) https://doi.org/10.1109/TIE.2016.2585545
  14. Peng, C., He, J., Deng, Z., Liu, Q.: Parallel mode notch filters for vibration control of magnetically suspended flywheel in the full speed range. IET Electric Power Appl 14, 1672-1678 (2020) https://doi.org/10.1049/iet-epa.2019.0392
  15. Higuchi T.: Digital Control System for Magnetic Bearings with Automatic Balancing[C]// Proc. 2nd. Int. Symposium of Magnetic Bearings (1990)
  16. Shafai, B., Beale, S., Larocca, P., et al.: Magnetic bearing control systems and adaptive forced balancing. Control Systems IEEE. 14(2), 4-13 (1994)
  17. Lum, K.Y., Coppola, V.T., Bernstein, D.S.: Adaptive autocentering control for an active magnetic bearing supporting a rotor with unknown mass imbalance. Elsevier (1996). https://doi.org/10.1016/S1474-6670(17)58532-8
  18. Liu, Z., Fang, J., Han, B.: Power reduction for the permanent magnet biased magnetic bearingless in MSCMG. J. Astro-nautics. 29(3), 1036-1041 (2008)
  19. Fang, J., Yuan, R.: High-precision control for a single-gimbal magnetically suspended control moment gyro based on inverse system method. IEEE Trans. Industr. Electron. 58(9), 4331-4342 (2011) https://doi.org/10.1109/TIE.2010.2095394
  20. Ahrens, M., Kucera, L.: Performance of a magnetically suspended flywheel energy storage device. IEEE Trans. Control Syst. Technol. 4(5), 494-502 (1996) https://doi.org/10.1109/87.531916
  21. J. Lu, C. Ye, S. Wan, K. Liu, Y. Zhao, C. Ye, "Position Predictive Control for Magnetic Bearing Flywheel System Based on Inverse System," 2022 IEEE 3rd China International Youth Conference on Electrical Engineering (CIYCEE), Wuhan, China, pp. 1-7 (2022)