Layered Framework and Iterative Solution Method for Heavy-haul Train Operation Optimization Considering Coupler Force Constraints
The characteristics of heavy-haul trains include extra-long formation,extremely heavy loads,and complex line conditions,because of which unreasonable operation can cause excessive coupler force easily,even coupler breakage and derailment.In order to achieve online optimization of heavy-haul train operation that ensures safe and stable train opera-tion,a layered framework for speed trajectory optimization and iterative optimization algorithm considering the precise cal-culation of coupler force was proposed.The top-level was designed to obtain the operation strategy rapidly considering the coupler force constraints,which transformed the multi-objective optimization problem into a quadratic programming problem based on the equivalent linear dynamics modelling of train,achieving rapid solution of the operating condition se-quence.The bottom layer of the framework used the longitudinal dynamic model to describe the distribution characteristics of coupler force during train operation.With the longitudinal impulse of the train taken as the judgment condition for the it-erative termination in the iterative optimization algorithm,the control quantity constraint in the multi-objective optimization model is dynamically adjusted for the local sections that do not meet the coupler force constraint,until the speed trajectory is resolved eventually.The results of the case study of 20,000 t heavy-haul trains show that the multi-objective operation optimization of heavy-haul trains can be effectively solved by the layered framework and iterative algorithm.
heavy-haul trainsconstraints on coupler forcelayered frameworkiterative optimization algorithmmulti-ob-jective optimization
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