Abstract
Aiming at the problem of co-frequency disturbance caused by mass imbalance in the AMB system, a dynamics model is established firstly, and then a composite controller based on the model is proposed, which combines a proportional differential (PD) and a disturbance observer (DOB). Finally, the simulation verified that the proposed method can have good robust control performance under the conditions of constant speed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Schweitzer, G., Maslen, E.H.: Magnetic Bearings: Theory, Design, and Application to Rotating Machinery. Springer, New York, NY, USA (2009)
Abrahamson, J., Hedlund, M., Kamf, T., Bernhoff, H.: High-speed kinetic energy buffer: optimization of composite shell and magnetic bearings. IEEE Trans. Industr. Electron. 61(6), 3012–3021 (2014)
Schuhmann, T., Hofmann, W., Werner, R.: Improving Operational performance of active magnetic bearings using Kalman filter and state feedback control. IEEE Trans. Industr. Electron. 59(2), 821–829 (2012)
Yoon, S.Y., Di, L., Lin, Z.L.: Unbalance compensation for AMB systems with input delay: an output regulation approach. Control Eng. Pract. 46, 166–175 (2016)
Mao, C., Zhu, C.: Vibration control for active magnetic bearing rotor system of high-speed flywheel energy storage system in a wide range of speed. In: 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), Hangzhou, pp. 1–6 (2016)
Kejian, J., Changsheng, Z., Liangliang, C.: Unbalance compensation by recursive seeking unbalance mass position in active magnetic bearing-rotor system. IEEE Trans. Industr. Electron. 62(9), 5655–5664 (2015)
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)
Peng, C., Fang, J., Xu, X.: Mismatched disturbance rejection control for voltage-controlled active magnetic bearing via state-space disturbance observer. IEEE Trans. Power Electron. 30(5), 2753–2762 (2015)
Fekry, M., Mohamed, A.M., Fanni, M.: Robust Q-parametrisation control for nonlinear magnetic bearing systems with imbalance based on TSK fuzzy model. IJMIC 29(3), 195–208 (2018)
Chen, Q., Liu, G., Han, B.: Suppression of imbalance vibration in AMB-rotor systems using adaptive frequency estimator. IEEE Trans. Industr. Electron. 62(12), 7696–7705 (2015)
Zheng, S., Han, B., Feng, R., Jiang, Y.: Vibration suppression control for AMB-supported motor driveline system using synchronous rotating frame transformation. IEEE Trans. Industr. Electron. 62(9), 5700–5708 (2015)
Gao, H., Xu, L., Zhu, Y.: Unbalance vibratory displacement compensation for active magnetic bearings. Chin. J. Mech. Eng. 26(1), 95–103 (2013)
He, Y., Shi, L., Shi, Z., Sun, Z.: Unbalance compensation of a full-scale test rig designed for HTR-10GT: a frequency-domain approach based on iterative learning control. Sci. Technol. Nucl. Install. 2017 (2017 Jan)
Husain, A.R., Ahmad, M.N., Yatim, A.H.M.: Modeling of a horizontal active magnetic bearing system with uncertainties in deterministic form. In: First Asia International Conference on Modelling & Simulation (AMS’07), Phuket, pp. 42–47 (2007)
Chen, S., Lin, S.: Imbalance compensation for an AMB system with adaptive immersion & invariance control. In: The 27th Chinese Control and Decision Conference (2015 CCDC), Qingdao, pp. 1530–1534 (2015)
Huo, X., Feng, S., Liu, X., Zhao, Q.: Modelling of aerodynamic interference of three-DOF Gyro Wheel rotor. IJMIC 29(1) 29(1), 53–63 (2018)
Acknowledgements
Project Supported by the Key Research and Development Project of Jiangsu Province (BE2017164).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Yue, Z., Ouyang, H., Zhang, G., Mei, L., Deng, X. (2020). Unbalance Suppression for Active Magnetic Bearing Rotor System Based on Disturbance Observer. In: Wang, R., Chen, Z., Zhang, W., Zhu, Q. (eds) Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Lecture Notes in Electrical Engineering, vol 582. Springer, Singapore. https://doi.org/10.1007/978-981-15-0474-7_24
Download citation
DOI: https://doi.org/10.1007/978-981-15-0474-7_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0473-0
Online ISBN: 978-981-15-0474-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)