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Cascade-free predictive adhesion control for IPMSM-driven electric trains

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Języki publikacji
EN
Abstrakty
EN
The application of active adhesion control to the traction control system of an electric train holds great appeal for maximizing longitudinal acceleration force. Most of the currently reported works regulate the adhesion between wheel and rail by adjusting the torque reference of a cascade motor drive controller, which suffers from slow speed response and excessive start torque. This article proposes a cascadefree predictive adhesion control strategy for electric trains powered by an interior permanent magnet synchronous motor (IPMSM) to address these issues. The proposed control scheme utilizes an improved perturbation and observation method to predict the time-varying wheel-rail adhesion state and determine the optimal slip speed. The initial setpoint reference command from the driver master is then adjusted to a dynamic reference that continuously adapts to the predicted adhesion conditions. Finally, the predictive speed control method is employed to ensure rapid convergence of the tracking objective. The simulation and hardware-in-the-loop testing results confirm that this approach achieves excellent dynamic performance, particularly during the train start-up phase and in the high-speed weak magnetic area of the IPMSM.
Rocznik
Strony
art. no. e151375
Opis fizyczny
Bibliogr. 36 poz., rys., tab., wykr.
Twórcy
autor
  • Urban Vocational College of Sichuan,Chengdu 610031, China
autor
  • School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Bibliografia
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  • [19] C. Calleja, A. López-de Heredia, H. Gaztañaga, L. Aldasoro, and T. Nieva, “Validation of a modified direct-self-control strategy for PMSM in railway-traction applications,” IEEE Trans. Ind. Electron., vol. 63, no. 8, pp. 5143–5155, 2016.
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  • [34] X. Xu, J. Sun, C. Yan, and J. Zhao, “Predictive speed control of interior permanent magnet synchronous motor with maximum torque per ampere control strategy,” in 2017 36th Chinese Control Conference (CCC). IEEE, 2017, pp. 4847–4852.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2b711922-0370-48ac-bbc8-3f7f1fc6b1f4
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