Heterogeneous Models Based Distributed Predictive Control for Heavy-haul Trains

In order to further improve the interval capacity and locomotive fleet safety operation for busy overloaded railways, a heterogeneous group modeling approach is adopted in this paper to identify locomotive fleets with different dynamic characteristics. By analyzing the dynamic coupling characteristics between different locomotive fleets, a topology graph with stable interconnection parameters for heterogeneous groups is derived. To ensure the smooth operation of overloaded train groups and prevent significant speed control errors during operation, a distributed dynamic matrix control approach is proposed for predicting and controlling train speeds. Joint simulations based on heterogeneous groups such as AC electric locomotive HXD3, DC electric locomotive SS4B, and diesel locomotive HXN3 demonstrate that this approach provides a reference for stable coupling of different types of overloaded locomotives, reduces driver workload, and achieves safe and smooth operation.