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Optimal control of rail transportation associated automatic train operation based on fuzzy control algorithm and PID algorithm

机译：基于模糊控制算法和PID算法的轨道运输相关自动列车运行的最优控制

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AbstractRail transportation develops rapidly in recent years, which has made great contribution to the solution of urban traffic jam and promoted the coordinated development of urban economy and environment. Automatic train operation (ATO) system can transform artificial train work into automatic train work. Therefore, the optimal control of ATO system is of great significance to the improvement of operation efficiency of rail transportation and the reduction of labor strength of train drivers. The regulation of train speed is the key of ATO system operation, and PID control algorithm is a common control algorithm. Train automatic drive can be realized through repeatedly debugging parameters through a large amount of experiments using the traditional PID control algorithm; however, it wastes time and energy and is complicated to operate. This study made optimal control on rail transportation associated ATO using fuzzy control algorithm in combination with PID control algorithm to make up for deficiencies, with the intention of achieving the control on the train start and speed, direction adjustment and accurate control of train parking and cruising.]]>
机译：<！[cdata [ <标题>抽象 ara>铁路运输在近年来迅速发展，这对城市交通堵塞解决方案提供了巨大贡献促进了城市经济与环境的协调发展。自动列车操作（ATO）系统可以将人工培训工程转化为自动列车工作。因此，ATO系统的最优控制对轨道运输运营效率的提高以及火车司机的劳动力的减少具有重要意义。列车速度的调节是ATO系统操作的关键，PID控制算法是一种常见的控制算法。通过使用传统的PID控制算法通过大量实验来通过反复调试参数来实现火车自动驱动器;但是，它浪费了时间和能量，并且经营着复杂。本研究对利用模糊控制算法结合PID控制算法进行了轨道运输的最佳控制，弥补了缺陷，旨在实现火车启动和速度，方向调整和巡航准确控制的控制。 ]]>

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