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

机译:多机车牵引重载列车的分布式节能动态矩阵控制

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摘要

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.
机译:由于重载列车的受力情况比普通列车复杂得多,因此钩子断裂和脱钩的情况将成为列车运行中的潜在危险。重型火车的节能运行对于铁路运输至关重要。本文将从降低重型火车运行过程中的承载力和降低重型火车能量消耗的角度研究重型火车的分布式协同控制。确保重型火车的安全稳定运行和节能运行具有重要意义。本文采用simulink建立了多机车多颗粒重载列车的动力学模型。基于动态矩阵控制(DMC)算法建立多机车多颗粒重载列车动态矩阵控制系统,对速度曲线进行跟踪和控制。获得耦合力,运行位移和能量消耗。将仿真结果与PID控制系统下的结果进行比较。

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