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Vibration analysis and multi-state feedback control of maglev vehicle-guideway coupling system


  • Received: 08 May 2022 Revised: 13 July 2022 Accepted: 14 July 2022 Published: 29 August 2022
  • Due to the existence of elastic modes in the track, the suspension system of maglev train is prone to vehicle-track coupling vibration, which has become an important problem restricting the further development of maglev train technology. In view of the limitation of the existing rigid track suspension model, this paper establishes an electromagnet-controller-elastic track coupling system model. And then, the nonlinear maglev system is transformed into a linear system by Hartman-Grobman theorem. Since the elastic deformation of the track is difficult to measure, a tracking differentiator is presented to filter out the interference of the displacement signal and obtain the differential signal of the gap between the electromagnet and the track. In order to suppress the vehicle-track coupling vibration, a four-state feedback control method is proposed by introducing the gap differential feedback signal. According to the Hurwitz algebraic criterion, the stability of four-state feedback control system is compared with that of three-state feedback control system. Simulation results show that, the four-state feedback control method can provide the elastic deformation information of the track, and can suppress the coupling vibration between the vehicle and the elastic track effectively.

    Citation: Lingling Zhang. Vibration analysis and multi-state feedback control of maglev vehicle-guideway coupling system[J]. Electronic Research Archive, 2022, 30(10): 3887-3901. doi: 10.3934/era.2022198

    Related Papers:

  • Due to the existence of elastic modes in the track, the suspension system of maglev train is prone to vehicle-track coupling vibration, which has become an important problem restricting the further development of maglev train technology. In view of the limitation of the existing rigid track suspension model, this paper establishes an electromagnet-controller-elastic track coupling system model. And then, the nonlinear maglev system is transformed into a linear system by Hartman-Grobman theorem. Since the elastic deformation of the track is difficult to measure, a tracking differentiator is presented to filter out the interference of the displacement signal and obtain the differential signal of the gap between the electromagnet and the track. In order to suppress the vehicle-track coupling vibration, a four-state feedback control method is proposed by introducing the gap differential feedback signal. According to the Hurwitz algebraic criterion, the stability of four-state feedback control system is compared with that of three-state feedback control system. Simulation results show that, the four-state feedback control method can provide the elastic deformation information of the track, and can suppress the coupling vibration between the vehicle and the elastic track effectively.



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    [1] H. W. Lee, K. C. Kim, J. Lee, Review of maglev train technologies, IEEE Trans. Magn., 42 (2006), 1917–1925. https://doi.org/10.1109/TMAG.2006.875842 doi: 10.1109/TMAG.2006.875842
    [2] Z. Z. Zhang, L. L. Zhang, Hopf bifurcation of time-delayed feedback control for maglev system with flexible guideway, Appl. Math. Comput., 219 (2013), 6106–6112. https://doi.org/10.1016/j.amc.2012.12.045 doi: 10.1016/j.amc.2012.12.045
    [3] J. H. Li, J. Li, P. C. Yu, Saturation influence of control voltage on maglev stationary self-excited vibration, J. Cent. South Univ., 23 (2016), 1954–1960. https://doi.org/10.1007/s11771-016-3252-4 doi: 10.1007/s11771-016-3252-4
    [4] Y. G. Sun, J. Q. Xu, H. Y. Qiang, W. J. Wang, G. B. Lin, Hopf bifurcation analysis of maglev vehicle-guideway interaction vibration system and stability control based on fuzzy adaptive theory, Comput. Ind., 108 (2019), 197–209. https://doi.org/10.1016/j.compind.2019.03.001 doi: 10.1016/j.compind.2019.03.001
    [5] L. H. She, Z. Z. Zhang, D. S. Zou, W. S. Chang, Multi-state feedback control strategy for maglev elastic vehicle-guideway-coupled system, Adv. Sci. Lett., 5 (2012), 587–592. https://doi.org/10.1166/asl.2012.1772 doi: 10.1166/asl.2012.1772
    [6] L. L. Zhang, L. H. Huang, Z. Z. Zhang, Hopf bifurcation of the Maglev time-delay feedback system via pseudo-oscillator analysis, Math. Comput. Modell., 52 (2010), 667–673. https://doi.org/10.1016/j.mcm.2010.04.014 doi: 10.1016/j.mcm.2010.04.014
    [7] K. J. Kim, J. B. Han, H. S. Han, S. J. Yang, Coupled vibration analysis of maglev vehicle-guideway while standing still or moving at low speeds, Veh. Syst. Dyn., 53 (2015), 587–601. https://doi.org/10.1080/00423114.2015.1013039 doi: 10.1080/00423114.2015.1013039
    [8] Z. Q. Wang, Z. Q. Long, X. L. Li, Track irregularity disturbance rejection for maglev train based on online optimization of PnP control architecture, IEEE Access, 7 (2019), 12610–12619. https://doi.org/10.1109/ACCESS.2019.2891964 doi: 10.1109/ACCESS.2019.2891964
    [9] D. F. Zhou, P. C. Yu, L. C. Wang, J. Li, An adaptive vibration control method to suppress the vibration of the maglev train caused by track irregularities, J. Sound Vib., 408 (2017), 331–350. https://doi.org/10.1016/j.jsv.2017.07.037 doi: 10.1016/j.jsv.2017.07.037
    [10] J. Q. Xu, C. Chen, D. G. Gao, S. H. Luo, Q. Q. Qian, Nonlinear dynamic analysis on maglev train system with flexible guideway and double time-delay feedback control, J. Vibroeng., 19 (2017), 6346–6362. https://doi.org/10.21595/jve.2017.18970 doi: 10.21595/jve.2017.18970
    [11] X. H. Shi, Z. Q. Long, Nonlinear vibration analysis of the maglev guideway-vehicle coupling control system, J. China Railw. Soc., 31 (2009), 38–42.
    [12] Z. Q. Wang, Z. Q. Long, Y. D. Xie, J. F. Ding, J. Luo, X. L. Li, A discrete nonlinear tracking-differentiator and its application in vibration suppression of maglev system, Math. Probl. Eng., 2020 (2020). https://doi.org/10.1155/2020/1849816 doi: 10.1155/2020/1849816
    [13] Z. Z. Zhang, L. L. Zhang, L. H. She, Z. Q. Long, Fuzzy integrality design for maglev networked control system with sensor data dropouts, Appl. Mech. Mater., 44–47 (2010), 1437–1441. https://doi.org/10.4028/www.scientific.net/AMM.44-47.1437 doi: 10.4028/www.scientific.net/AMM.44-47.1437
    [14] Y. Zhang, L. L. Zhang, Intelligent fault detection of reciprocating compressor using a novel discrete state space, Mech. Syst. Sig. Process., 169 (2022), 108583. https://doi.org/10.1016/j.ymssp.2021.108583 doi: 10.1016/j.ymssp.2021.108583
    [15] Z. Z. Zhang, Applied adaptive controller design for vibration suppression in electromagnetic systems, Appl. Comput. Electromagn. Soc. J., 34 (2019), 567–576.
    [16] Z. Z. Zhang, X. L. Li, Real-time adaptive control of a magnetic levitation system with a large range of load disturbance, Sensors, 18 (2018), 1512–1526. https://doi.org/10.3390/s18051512 doi: 10.3390/s18051512
    [17] L. L. Zhang, Z. Z. Zhang, L. H. Huang, Double Hopf bifurcation of time-delayed feedback control for maglev system, Nonlinear Dyn., 69 (2012), 961–967. https://doi.org/10.1007/s11071-011-0317-7 doi: 10.1007/s11071-011-0317-7
    [18] S. M. Wang, Y. Q. Ni, Y. G. Sun, Y. Lu, Y. F. Duan, Modelling dynamic interaction of maglev train-controller-rail-bridge system by vector mechanics, J. Sound Vib., 533 (2022), 117023. https://doi.org/10.1016/j.jsv.2022.117023 doi: 10.1016/j.jsv.2022.117023
    [19] Y. G. Sun, S. M. Wang, Y. Lu, J. Q. Xu, S. Xie, Control of time delay in magnetic levitation systems, IEEE Magn. Lett., 13 (2022), 1–5. https://doi.org/10.1109/LMAG.2021.3123909 doi: 10.1109/LMAG.2021.3123909
    [20] Y. G. Sun, S. M. Wang, Y. Lu, J. Q. Xu, Gaussian process dynamic modeling and backstepping sliding mode control for magnetic levitation system of maglev train, J. Theor. Appl. Mech., 60 (2022), 49–62. https://doi.org/10.15632/jtam-pl/143676 doi: 10.15632/jtam-pl/143676
    [21] Z. Z. Zhang, Z. L. Wei, B. W. Nie, Y. Li, Discontinuous maneuver trajectory prediction based on HOA-GRU method for the UAVs, Electron. Res. Arch., 30 (2022), 3111–3129. https://doi.org/10.3934/era.2022158 doi: 10.3934/era.2022158
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