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March 3, 2026
Preview MPC control of train active suspension based on Kalman filter disturbance estimation
YG
Yufeng Gu
Beijing Jiaotong University
LZ
Li Zhu
Beijing Jiaotong University
JL
Jia-Huan Li
Beijing Jiaotong University
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Puntos clave
Train active suspension demonstrates improved performance with MPC control in dynamic systems.
Key evidence shows a reduction in disturbance impact by 30% under tested conditions.
Analysis employs a Kalman filter for disturbance estimation and system state awareness in system design.
This approach highlights potential for enhanced train safety and ride comfort through active suspension systems.
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Cite This Study
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Gu et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75a73c6e9836116a2047f
https://doi.org/https://doi.org/10.1016/j.measurement.2026.120616
Vista previa del control MPC de la suspensión activa del tren basado en la estimación de perturbaciones del filtro de Kalman | Synapse