Study on model predictive control of energy saving assisted driving for heavy-haul trains
With the rapid development of heavy-haul railway transport in recent years,the energy consumption of trains has become increasingly prominent. At present,most of the train equipment is modified to achieve the effect of energy saving,but the energy consumption generated by the differences in the operation of the train driver is often overlooked,especially the high load of heavy-haul trains. The longer train,more inertia,and other factors lead to the challenging driving maneuver,resulting in greater differences in the energy consumption of train operation. Therefore,it becomes crucial to study the energy-saving technology of assisted driving for heavy-haul trains. In this regard,this paper analyzed the relationship between the running energy consumption of heavy-haul electric locomotive traction trains and driving manipulation,studied the auxiliary intelligent driving energy-saving control method on the basis of the current train driving manipulation control,and proposed the train assisted driving system. This was realized by optimizing the train operating curve and adaptively adjusting the train's operating condition sequence through model predictive control. The system combined line conditions,operating environment,train control,LKJ safety monitoring and protection as well as ground command and dispatching,fused model predictive control based on real-time following prediction of train operation curve and collaborative intelligent control,adaptively adjusted the traction/braking characteristics of train control,and then performed rolling optimization control. Therefore,the operating speed curves of train maneuvering were optimized,and the exertion of traction/braking power of heavy-haul locomotives was accurately controlled so as to optimize the energy consumption control of train co-operation in the train-environment-line. Finally,simulation comparison experiments were carried out by simulating part of the Beijing-Guangzhou line section. Through the experiments,the model-predicted auxiliary driving of heavy-haul trains can reduce the energy consumption of train operation by up to about 12.4％,which verifies that the train-assisted driving control method proposed in this paper assists in the energy-saving,green,and safe maneuvering operation of heavy-haul trains.
heavy-haul trainassisted drivingenergy-saving and optimizingmodel predictive controladaptive control
万方数据
维普
