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首页> 外文期刊>IEEE Transactions on Intelligent Transportation Systems >Energy-Efficient Locomotive Operation for Chinese Mainline Railways by Fuzzy Predictive Control
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Energy-Efficient Locomotive Operation for Chinese Mainline Railways by Fuzzy Predictive Control

机译：基于模糊预测控制的中国干线铁路节能机车运行

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摘要

With the increasing energy consumption in Chinese mainline railways amid the worldwide carbon emission concerns, the need for energy-efficient locomotive operation becomes urgent. Locomotive operation is directly linked to speed limits imposed by the train ahead through signaling. In China's mainline railways, speed limits for locomotive operation change frequently because of relatively short headways in a highly congested network. Whenever the speed limit changes, the locomotive operation must be determined again quickly to adapt to the new speed limit. As a result, the energy-efficient locomotive operation is a real-time optimization problem with time-varying constraints, in which the tradeoff between solution optimality and computational time is essential, but it has not been considered adequately in previous studies. This study develops a fuzzy predictive control approach, continuously providing locomotive operation instructions, with respect to the prevailing speed limits, to reduce energy consumption of train movement. The proposed approach is implemented in an onboard decision support system to assist drivers. The system is tested on the Ning'xi line in China. The results indicate that energy consumption on train operations is reduced by 4%, without increasing the runtime between stations, while the computational requirement satisfies the demand of real-time solutions. Extensive simulations show that the proposed approach is able to provide sufficient solution optimality in reasonable computational time under different operation settings.
机译：随着全球范围内碳排放的担忧，中国干线铁路的能源消耗不断增加，对节能机车的需求变得迫在眉睫。机车运行通过信号直接与前方火车施加的限速联系在一起。在中国的干线铁路中，机车运行的速度限制经常变化，这是因为高度拥挤的网络中的行进距离相对较短。只要速度限制发生变化，就必须迅速确定机车运行以适应新的速度限制。结果，节能机车运行是一个具有时变约束的实时优化问题，其中解决方案最优性和计算时间之间的折衷是必不可少的，但在先前的研究中并未充分考虑。这项研究开发了一种模糊预测控制方法，针对当前的速度限制，不断提供机车运行指令，以减少列车运行的能耗。建议的方法在车载决策支持系统中实施，以协助驾驶员。该系统已在中国的宁西线进行了测试。结果表明，在不增加站点间运行时间的情况下，列车运行中的能耗降低了4％，而计算要求则满足了实时解决方案的需求。大量的仿真表明，在不同的操作设置下，该方法能够在合理的计算时间内提供足够的最优解。

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