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<p>Track irregularities are a major source of vibration in railway vehicles, which causes ride comfort and stability problems in high-speed trains. This study investigates the performance of a high-speed train equipped with a semi-active suspension system featuring a smart damper, modeled using the Bouc–Wen hysteresis model. The damping parameters are optimized using Non-Dominated Sorting Genetic Algorithm (NSGA-II) optimization method, and accuracy of model was validated experimentally. The quarter rail-vehicle (QRV) model having secondary suspension system with smart damper was developed as three-degrees-of-freedom (DOF) system. Proportional–integral–derivative (PID) controller was implemented to minimize the effect of track disturbance on train performances. The study investigated ride comfort and stability under random track irregularities at different speed regimes (0–260&#xa0;km/h). The results indicated that the smart damper-based semi-active suspension system could remarkably improve dynamic performance, as the simulation results confirmed 33% lower resonance amplitude compared to passive suspension system. Thus, the present study shows the benefit of the semi-active suspension systems to improve the stability and ride comfort of the high-speed rail vehicles.</p>

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Improvement of ride comfort and stability of high-speed rail vehicles with semi-active suspension system

  • 期刊论文

  • 发表日期：

    2025年7月21日

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  • K. Hemanth,
  • T. M. Gurubasavaraju,
  • V. Shamanth,
  • M. Y. Supritha,
  • K. S. Narayanaswamy,
  • Rayappa Mahale,
  • Swapnil Vyavahare,
  • Avinash Badadhe

摘要

Track irregularities are a major source of vibration in railway vehicles, which causes ride comfort and stability problems in high-speed trains. This study investigates the performance of a high-speed train equipped with a semi-active suspension system featuring a smart damper, modeled using the Bouc–Wen hysteresis model. The damping parameters are optimized using Non-Dominated Sorting Genetic Algorithm (NSGA-II) optimization method, and accuracy of model was validated experimentally. The quarter rail-vehicle (QRV) model having secondary suspension system with smart damper was developed as three-degrees-of-freedom (DOF) system. Proportional–integral–derivative (PID) controller was implemented to minimize the effect of track disturbance on train performances. The study investigated ride comfort and stability under random track irregularities at different speed regimes (0–260 km/h). The results indicated that the smart damper-based semi-active suspension system could remarkably improve dynamic performance, as the simulation results confirmed 33% lower resonance amplitude compared to passive suspension system. Thus, the present study shows the benefit of the semi-active suspension systems to improve the stability and ride comfort of the high-speed rail vehicles.