Research article Special Issues

Improved active disturbance rejection controller for rotor system of magnetic levitation turbomachinery

  • Received: 21 November 2022 Revised: 27 December 2022 Accepted: 03 January 2023 Published: 31 January 2023
  • The rotor of the magnetic suspension turbomachinery is supported by the magnetic suspension bearing without contact and mechanical friction, which directly drives the high-efficiency fluid impeller. It has the advantages of high efficiency, low noise, less fault and no lubrication. However, the system often has some unknown mutation, time variation, load perturbation and other un-certainties when working, and the traditional Proportion Integration Differentiation (PID) control strategy has great limitations to overcome the above disturbances. Therefore, this paper firstly establishes a mathematical model of the rotor of magnetic levitation turbomachinery. Then, a linear active disturbance rejection controller (LADRC) is presented, which can not only improve the above problems of PID control, but also avoid the complex parameter tuning process of traditional nonlinear active disturbance rejection control (ADRC). However, LADRC is easy to induce the overshoot of the system and cannot filter the given signal. On this basis, an improved LADRC with a fast-tracking differentiator (FTD) is proposed to arrange the transition process of input signals. The simulation results show that compared with the traditional PID controller and single LADRC, the improved linear active disturbance rejection control method with fast tracking differentiator (FTD-LADRC) can better suppress some unknown abrupt changes, time variation and other uncertainties of the electromagnetic bearing-rotor system. At the same time, the overshoot of the system is smaller, and the parameters are easy to be set, which is convenient for engineering application.

    Citation: Tongtong Yu, Zhizhou Zhang, Yang Li, Weilong Zhao, Jinchu Zhang. Improved active disturbance rejection controller for rotor system of magnetic levitation turbomachinery[J]. Electronic Research Archive, 2023, 31(3): 1570-1586. doi: 10.3934/era.2023080

    Related Papers:

  • The rotor of the magnetic suspension turbomachinery is supported by the magnetic suspension bearing without contact and mechanical friction, which directly drives the high-efficiency fluid impeller. It has the advantages of high efficiency, low noise, less fault and no lubrication. However, the system often has some unknown mutation, time variation, load perturbation and other un-certainties when working, and the traditional Proportion Integration Differentiation (PID) control strategy has great limitations to overcome the above disturbances. Therefore, this paper firstly establishes a mathematical model of the rotor of magnetic levitation turbomachinery. Then, a linear active disturbance rejection controller (LADRC) is presented, which can not only improve the above problems of PID control, but also avoid the complex parameter tuning process of traditional nonlinear active disturbance rejection control (ADRC). However, LADRC is easy to induce the overshoot of the system and cannot filter the given signal. On this basis, an improved LADRC with a fast-tracking differentiator (FTD) is proposed to arrange the transition process of input signals. The simulation results show that compared with the traditional PID controller and single LADRC, the improved linear active disturbance rejection control method with fast tracking differentiator (FTD-LADRC) can better suppress some unknown abrupt changes, time variation and other uncertainties of the electromagnetic bearing-rotor system. At the same time, the overshoot of the system is smaller, and the parameters are easy to be set, which is convenient for engineering application.



    加载中


    [1] H. L. Sha, T. Y. Yu, Y. He, Z. H. Zhang, Rotor dynamics design and test of 700 kW magnetic levitation turbo blower, Chin. J. Turbomach., 61 (2019), 45–47. https://doi.org/10.16492/j.fjjs.2019.06.0008 doi: 10.16492/j.fjjs.2019.06.0008
    [2] X. D. Guan, J. Zhou, C. W. Jin, Y. P. Xu, Disturbance suppression in active magnetic bearings with adaptive control and extended state observer, Proc. Inst. Mech. Eng., Part Ⅰ: J. Syst. Control Eng., 234 (2020), 272–284. https://doi.org/10.1177/0959651819849774 doi: 10.1177/0959651819849774
    [3] Z. W. Huang, J. M. Zhu, J. J. Shao, Z. X. Wei, J. W. Tang, Recurrent neural network based high-precision position compensation control of magnetic levitation system, Sci. Rep., 12 (2022), 11435. https://doi.org/10.1038/s41598-022-15638-0 doi: 10.1038/s41598-022-15638-0
    [4] A. Hezzi, S. B. Elghali, Y. Bensalem, Z. B. Zhou, M. Benbouzid, M. N. Abdelkrim, ADRC-based robust and resilient control of a 5-phase PMSM driven electric vehicle, Machines, 8 (2020), 17. https://doi.org/10.3390/machines8020017 doi: 10.3390/machines8020017
    [5] A. Winursito, G. N. P. Pratama, LQR state feedback controller with precompensator for magnetic levitation system, J. Phys.: Conf. Ser., 2111 (2021), 012004. https://doi.org/10.1088/1742-6596/2111/1/012004 doi: 10.1088/1742-6596/2111/1/012004
    [6] L. Zhang, L. W. Zhang, J. W. Yang, M. Gao, Y. H. Li, Application research of fuzzy PID control optimized by genetic algorithm in medium and low speed maglev train charger, IEEE Access, 9 (2021), 152131–152139. https://doi.org/10.1109/ACCESS.2021.3123727 doi: 10.1109/ACCESS.2021.3123727
    [7] J. Q. Han, Auto disturbances rejection controller and its applications, Control Decis., 13 (1998), 19–23. https://doi.org/10.13195/j.cd.1998.01.19.hanjq.004 doi: 10.13195/j.cd.1998.01.19.hanjq.004
    [8] W. Zhan, J. Y. Su, G. J. Yang, Electrical line-shafting control for permanent magnet synchronous motors using active disturbance rejection control, J. Phys.: Conf. Ser., 1884 (2021), 012036. https://doi.org/10.1088/1742-6596/1884/1/012036 doi: 10.1088/1742-6596/1884/1/012036
    [9] Z. Q. Gao, Scaling and bandwidth-parameterization based controller tuning, in Proceedings of American Control Conference, 6 (2003), 4989–4996. https://doi.org/10.1109/ACC.2003.1242516
    [10] Y. L. Shi, C. Z. Hou, Design of improved nonlinear tracking, Control Decis., 23 (2008), 647–650. https://doi.org/10.13195/j.cd.2008.06.49.shiyl.005 doi: 10.13195/j.cd.2008.06.49.shiyl.005
    [11] J. C. Ji, C. H. Hansen, Nonlinear oscillations of a rotor in active magnetic bearings, J. Sound Vib., 240 (2001), 599–612. https://doi.org/10.1006/jsvi.2000.3257 doi: 10.1006/jsvi.2000.3257
    [12] L. L. Zhang, Vibration analysis and multi-state feedback control of maglev vehicle-guideway coupling system, Electron. Res. Arch., 30 (2022), 3887–3901. https://doi.org/10.3934/era.2022198 doi: 10.3934/era.2022198
    [13] J. C. Ji, Dynamics of a Jeffcott rotor-magnetic bearing system with time delays, Int. J. Non-Linear Mech., 38 (2003), 1387–1401. https://doi.org/10.1016/S0020-7462(02)00078-1 doi: 10.1016/S0020-7462(02)00078-1
    [14] J. C. Ji, C. H. Hansen, A. C. Zander, Nonlinear dynamics of magnetic bearing systems, J. Intell. Mater. Syst. Struct., 19 (2008), 1471–1491. https://doi.org/10.1177/1045389X08088666 doi: 10.1177/1045389X08088666
    [15] F. T. Wang, P. Dai, J. P. Wang, L. K. Niu, Vibration responses of the bearing-rotor-gear system with the misaligned rotor, Machines, 10 (2022), 267. https://doi.org/10.3390/machines10040267 doi: 10.3390/machines10040267
    [16] N. Numanoy, J. Srisertpol, Vibration reduction of an overhung rotor supported by an active magnetic bearing using a decoupling control system, Machines, 7 (2019), 73. https://doi.org/10.3390/machines7040073 doi: 10.3390/machines7040073
    [17] Y. H. Wang, X. Xiong, X. Hu, Vibration and stability analysis of a bearing–rotor system with transverse breathing crack and initial bending, Machines, 9 (2021), 79. https://doi.org/10.3390/machines9040079 doi: 10.3390/machines9040079
    [18] Z. L. Xie, J. Jiao, K. Yang, T. He, R. G. Chen, W. D. Zhu, Experimental and numerical exploration on the nonlinear dynamic behaviors of a novel bearing lubricated by low viscosity lubricant, Mech. Syst. Sig. Process., 182 (2023), 109349. https://doi.org/10.1016/j.ymssp.2022.109349 doi: 10.1016/j.ymssp.2022.109349
    [19] L. Y. Huang, N. Q. Hu, Y. Yang, L. Chen, J. H. Wen, G. J. Shen, Study on electromagnetic–dynamic coupled modeling method—detection by stator current of the induction motors with bearing faults, Machines, 10 (2022), 682. https://doi.org/10.3390/machines10080682 doi: 10.3390/machines10080682
    [20] J. Wang, Y. F. Liu, Z. Y. Qin, L. Ma, F. L. Chu, Dynamic performance of a novel integral magnetorheological damper-rotor system, Mech. Syst. Sig. Process., 172 (2022), 109004. https://doi.org/10.1016/j.ymssp.2022.109004 doi: 10.1016/j.ymssp.2022.109004
    [21] B. Xiang, H. Liu, Y. J. Yu, Gimbal effect of magnetically suspended flywheel with active deflection of Lorentz-force magnetic bearing, Mech. Syst. Sig. Process., 173 (2022), 109081. https://doi.org/10.1016/j.ymssp.2022.109081 doi: 10.1016/j.ymssp.2022.109081
    [22] Z. J. Wang, T. Zhao, Adaptive-based linear active disturbance rejection attitude control for quadrotor with external disturbances, Trans. Inst. Meas. Control, 44 (2022), 286–298. https://doi.org/10.1177/01423312211031781 doi: 10.1177/01423312211031781
    [23] J. Q. Han, L. L. Yuan, The discrete form of tracking differentiator, J. Syst. Sci. Math. Sci., 19 (1999), 268–273.
    [24] S. N. Wu, Z. L. Ping, Y. H. Ma, Research on DPCC control strategy of PMSM based on LESO, J. Phys.: Conf. Ser., 2005 (2021), 012137. https://doi.org/10.1088/1742-6596/2005/1/012137 doi: 10.1088/1742-6596/2005/1/012137
    [25] Y. T. Wang, W. Tan, W. Q. Cui, Tuning of linear active disturbance rejection controllers for second-order underdamped systems with time delay, ISA Trans., 118 (2021), 83–93. https://doi.org/10.1016/j.isatra.2021.02.011 doi: 10.1016/j.isatra.2021.02.011
    [26] X. D. Sun, Z. J. Jin, L. Chen, Z. B. Yang, Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system, Mech. Syst. Signal Process., 153 (2021), 107465. https://doi.org/10.1016/j.ymssp.2020.107465 doi: 10.1016/j.ymssp.2020.107465
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1187) PDF downloads(115) Cited by(5)

Article outline

Figures and Tables

Figures(12)  /  Tables(3)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog