Multiobjective Optimization and Weight Selection Method for Heavy Haul Trains Trajectory

Multiobjective Optimization and Weight Selection Method for Heavy Haul Trains Trajectory

Blog Article

Energy-saving, punctuality and smoothness are difficult to achieve in the operation of heavy haul train.This paper proposes a multi-objective method for speed curve optimization.Firstly, a quadratic programming optimization model is established, using train kinetic energy and train force as independent variables and several goals of energy conservation, smoothness, and target speed tracking.Under laufenn 275/55r20 the supplied weight vector, the model can realize the ideal speed curve under unbounded time.

Secondly, in order to address the demand for punctuality, this paper develops a weight selection algorithm to optimal monster scooter batteries weight vector for any given trip time.Finally, a time-bounded multi-objective speed curve optimization model is proposed, which achieves energy conservation, punctuality and smoothness train operation.The simulation indicates that the proposed algorithm outperforms human driving in multi-objectives.And the designed time bounded weight selection algorithm is more efficient than the conventional linear approaching weight search method.