Distributed Energy-Saving Dynamic Matrix Control of Multi-locomotive Traction Heavy Haul Train

Abstract

Due to the heavy haul train’s force condition is far more complex than the ordinary train, broken hook and decoupling situation will become potential danger in the operation of the train. The energy-saving operation of heavy haul train is of great importance for rail transport. In this paper, we will study the distributed co-control of heavy haul train from the aspects of reducing the load-bearing force during the operation of heavy haul train and reducing the energy consumption of heavy haul train. It is of great importance to ensure the safe and stable operation and energy saving operation of heavy haul train. In this paper, simulink is used to build the multi-locomotive multi-particle heavy haul train dynamic model. Based on the dynamic matrix control (DMC) algorithm to establish the multi-locomotive multi-particle heavy haul train dynamic matrix control system, the velocity curve is tracked and controlled. The coupler force, running displacement and energy consumption are obtained. The simulation results are compared with the results which under the PID control system.