Transportation Systems and TechnologyTransportation Systems and TechnologyСетевой электронный журнал "Транспортные системы и технологии"2413-9203Eco-Vector1018310.17816/transsyst20184292-106Original papersОригинальные статьиResearch ArticleAdaptive vibration control of the electromagnet-track coupled high frequency resonance for an urban maglev systemhttps://orcid.org/0000-0001-5707-6530ZhouDanfeng
China

PhD, Lecturer

zhoudanfeng@maglev.cnYuPeichang
China

PhD, Lecturer

lofter@163.comLiJie
China

PhD, Professor

lj@maglev.cnCuiPeng
China

PhD, Lecturer

cuipeng@maglev.cnSongMengxiao
China

PhD, Student

songmengxiao14@nudt.edu.cnNational University of Defense TechnologyState Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of SciencesNational University of Defense Technology1309201842921061709201817092018Copyright ©; 2018, Zhou D., Yu P., Li J., Cui P., Song M.Copyright ©; 2018, Zhou D., Yu P., Li J., Cui P., Song M.2018Zhou D., Yu P., Li J., Cui P., Song M.Zhou D., Yu P., Li J., Cui P., Song M.http://creativecommons.org/licenses/by-nc-nd/4.0https://journals.eco-vector.com/transsyst/article/view/10183

This paper is a study of the electromagnet-track coupled high frequency resonance that frequently occurs in the urban maglev systems, it includes the following points:

Aim: The purpose of this study is to investigate the principle underlying the high frequency resonance occurs between the maglev train and the track, and to develop an appropriate vibration control algorithm which can be applied in the levitation controller, such that the resonance can be eliminated when the maglev train travels along the track.

Materials and methods of the studies: In this paper, the model of the electromagnet-track coupled system is firstly established, in which some special cases, which correspond to the situations when the screws that fasten the F-rail to the sleepers are fatigue, or the stiffness of the rubber plates beneath the sleepers weaken for temperature reasons, are studied; and the reason that leads to the coupled resonance are explained as well. Secondly, an adaptive vibration control algorithm, which consists of a vibration observer and a tunable adaptive filter, is designed to suppress the high frequency electromagnet-track coupled resonance.

Results: Using this algorithm, when the train arrives at the spots where the coupled resonance may occur, the vibration observer will detect the occurring of the vibration and estimates its frequency, and then activate the adaptive filter and tune it to absorb the vibration.

Conclusion: The test indicates that this algorithm is capable of tuning itself to handle the unpredictable coupled resonance that occurs along the track, and it is simple and can be easily integrated into the levitation control code in a digital levitation control system.

vibrationresonancetrackcontroladaptiveurban maglevThis work was supported by the National Key Development Program of the 13th Five-year plan [grant number 2016YFB1200601-B12]; the Research Plan Program of National University of Defense Technology [grant number 2K16-02-02]; the Opening Foundation of the State Key Laboratory of Functional Materials for Informatics [grant number SKL-2017-07]; and National Nature and Science Foundation of China [grant number 11302252].Zhou DF, Hansen CH, Li J, Chang WS. Review of coupled vibration problems in EMS maglev vehicles. International Journal of Acoustics and Vibration. 2010;15(1):10-23. doi: 10.20855/ijav.2010.15.1255.Zhou DF, Hansen CH, Li J. Suppression of maglev vehicle-girder self-excited vibration using a virtual tuned mass damper. Journal of Sound and Vibration. 2011;330:883-901. doi:10.1016/j.jsv.2010.09.018.Zhou DF, Li J, Hansen CH. Application of least mean square algorithm to suppression of maglev track-induced self-excited vibration. Journal of Sound and Vibration. 2011;330:5791-5811. doi: 10.1016/j.jsv.2011.07.021.Zhou DF, Li J, Zhang K. An Adaptive Control Method to Suppress the Maglev Track-Induced Self-Excited Vibration. Proceedings of the 2011 International Conference on Consumer Electronics, Communications and Networks; 2011; Xian Ning, China. p. 4723–4727. doi: 10.1109/CECNET.2011.5768485.Zhou DF, Li J, Zhang K. Amplitude control of the track-induced self-excited vibration for a maglev system. ISA Transactions. 2014; 53(5):1463–1469. doi: 10.1016/j.isatra.2013.12.016.Zhou DF. Research on Self-Excited Vibration Problems in EMS Maglev Vehicle-Guideway Coupled System [dissertation]. Graduate School of National University of Defense Technology; 2011 (in Chinese).Svetlitsky VA. Engineering Vibration Analysis (Worked Problems 2). Berlin: Springer-Verlag; 2004. doi: 10.1007/978-3-540-40970-0.Zhou DF, Yu PC, Wang LC, Li J. An adaptive vibration control method to suppress the vibration of the maglev train caused by track irregularities. Journal of Sound and Vibration. 2017;408:331-350. doi: 10.1016/j.jsv.2017.07.037.Regalia PA. An improved lattice-based adaptive IIR notch filter. IEEE Trans. Signal Process. 1991;39(9):2124-2128. doi: 10.1109/78.134453.Bodson M, Douglas SC. Adaptive algorithms for the rejection of sinusoidal disturbances with unknown frequency. Automatica. 1997;33(12):2213-2221. doi: 10.1016/s0005-1098(97)00149-0.