高速铁路动车组因其高运行速度、强运载能力、低能源消耗、弱环境影响以及显著的经济和社会效益，获得了诸多国家的重视与发展。运行速度的提升是高速动车组技术发展的重要目标。制约运行速度提升的关键问题是车辆横向动力学特性。车辆横向动力学特性与车辆悬挂装置密切相关。以补偿车辆悬挂参数为出发点的半主动、主动控制策略可以有效地改善车辆横向动力学特性。因此，研究车辆系统的横向动力学特性并提出有效的控制策略对动车组在高速下的稳定运行具有重要意义。然而，现有研究所建立的整车系统动力学模型并未考虑电机的弹性架悬和自旋蠕滑的影响，且以往的控制策略均未考虑减振器的动态特性。

为此，本文围绕电机主动架悬动车组的横向动力学特性展开研究，旨在设计出合理的控制策略以改善车辆系统的蛇行稳定性。首先，本文基于Kalker线性轮轨滚动接触理论并考虑电机主动架悬，建立了一个考虑自旋蠕滑效应的23自由度电机主动架悬动车组整车系统动力学模型，并在Simpack平台中搭建了对应的多体动力学仿真模型。随后，通过Sobol全局敏感性分析与Pearson相关性分析方法，识别出二系横向刚度K_sy、二系横向阻尼C_sy与电机横移频率f_my是影响横向稳定性与运行平稳性的关键因素。在此基础上，进一步分析了电机架悬参数对线性临界速度和系统最小阻尼比的具体影响规律。同时，通过与高精度Simpack仿真模型及已有文献复现模型的对比，验证了本文所建模型在引入自旋蠕滑项后，在物理合理性与工程适用性方面具备更高的一致性。基于敏感性与相关性分析结果，本文设计了一种基于状态反馈的自适应主动控制方法，结合车辆蛇行频率的实时检测，对抗蛇行减振器的动态刚度与阻尼进行更新，并据此通过作动器输出控制力，实现对关键悬挂参数的在线优化调节。联合仿真结果表明，本文所提出的控制策略不仅能显著提升车辆系统的临界速度，还能提高车辆对外界激扰的响应抑制能力，同时降低构架的横移加速度，从而有效改善电机主动架悬动车组的蛇行稳定性。

综上所述，本文的研究为主动悬架在高速动车组中的应用提供了完整的建模流程、关键参数识别方法与控制策略设计依据，对提升高速动车组的横向动力学特性具有重要理论价值与工程推广意义。

The high-speed railway electric multiple unit (EMU) has gained widespread attention and development in many countries due to its high operating speed, strong passenger capacity, low energy consumption, minimal environmental impact, and significant economic and social benefits. Increasing operating speed remains a central objective in the advancement of high-speed EMU technology. A key constraint to further speed enhancement lies in the lateral dynamics characteristics of railway vehicles, which are closely linked to the suspension system. Semi-active and active control strategies aimed at compensating for suspension parameters have demonstrated effectiveness in improving lateral dynamics characteristics. Therefore, research on lateral dynamics characteristics of the vehicle system and development of effective control strategies are of great significance for ensuring stable operation of EMUs at high speeds. However, existing dynamics models of the entire vehicle system often neglect the effects of motor-mounted elastic suspension systems and spin creepage, and conventional control strategies generally fail to account for the dynamic characteristics of dampers.

To address these gaps, this study focuses on lateral dynamics characteristics of the EMU system with motor active suspension, aiming to develop a rational control strategy to improve the hunting stability of the vehicle system. First, based on the Kalker’s linear wheel–rail rolling contact theory and incorporating the effect of spin creep, a 23-degree-of-freedom dynamics model was established for the entire EMU system with motor active suspension, and a corresponding multibody dynamics simulation model was constructed using the Simpack platform. Subsequently, through Sobol global sensitivity analysis and Pearson correlation analysis, the secondary lateral stiffness K_sy, the secondary lateral damping C_sy, and the motor lateral frequency f_my were identified as the critical factors influencing the lateral stability and running smoothness. On this basis, the influence laws of motor suspension parameters on the linear critical hunting speed and minimum system damping ratio are further explored. Furthermore, comparison with both high-fidelity Simpack simulation models and reproduced reference literature-based models confirms that the proposed model, with the spin creep effect included, offers improved physical accuracy and engineering applicability. Based on the results of sensitivity and correlation analyses, this study proposes a state-feedback-based adaptive active control method. By incorporating real-time detection of the hunting frequency, the dynamic stiffness and damping of the anti-yaw damper are updated accordingly. Control forces are then generated by actuators to achieve online optimization and adjustment of the key suspension parameters. Co-simulation results confirm that the proposed control strategy significantly enhances the critical speed of the vehicle system, improves the ability of the vehicle to suppress external disturbances, and reduces the lateral acceleration of bogies, thereby effectively improving the hunting stability of the EMU system with motor active suspension.

In summary, this study establishes a comprehensive modeling framework, parameter identification methodology, and control strategy design for the application of motor active suspension systems in high-speed EMUs. The results provide both theoretical value and practical relevance for enhancing lateral dynamics performance of high-speed EMUs.