Ride Comfort Improvements on Disturbed Railroads Using Model Predictive Control

Alexander Posseckert, Daniel Lüdicke
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Abstract

This paper proposes a control strategy for active lateral secondary suspension that uses preview data. Based on a derived analytical model, a model predictive controller (MPC) is implemented. The influence of the track irregularities upon carbody lateral dynamics is considered explicitly. The controller developed is applied to a full-scale rail vehicle model. Ride comfort is evaluated according to EN 12299. Multibody simulations show that there is a significant increase in continuous ride comfort on poor-quality tracks.
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利用模型预测控制改善扰动铁路的乘坐舒适性
提出了一种基于预演数据的主动横向副悬架控制策略。基于推导的分析模型,实现了模型预测控制器(MPC)。明确考虑了轨道不平整对车体横向动力学的影响。所开发的控制器应用于全尺寸轨道车辆模型。乘坐舒适性根据EN 12299进行评估。多体仿真表明,在质量较差的轨道上,连续乘坐舒适性有显著提高。
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