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Model Predictive Control for High-Speed Train Braking Systems With Priority-Based Force Distribution
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DOI：10.1109/TCST.2026.3685687.png)
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Abstract
En 中文
Efficient braking force distribution (BFD) is crucial for high-speed trains (HSTs) to maintain peak performance. Traditional BFD strategies follow a fixed priority sequence: electric braking (EB), air braking (AB) of trailer carriages (TCs), and AB of motor carriages (MCs). However, HST operations must also consider factors such as tracking accuracy and ride comfort. Integrating multiple performance considerations while respecting braking priorities presents a significant technical challenge. This brief proposes a novel model predictive control (MPC) method that not only formulates but also effectively addresses the optimal braking force design problem, ensuring a balanced distribution based on priorities. Its effectiveness is demonstrated across representative braking scenarios, with comprehensive comparisons against traditional BFD strategies.
Keywords:
Braking force distribution (BFD)
high-speed trains (HSTs)
model predictive control (MPC)
optimal control
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