Fuzzy logic based automatic braking system in trains

G. Sankar, S. Kumar.
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引用次数: 11

Abstract

This paper focuses on a new approach to braking system in train, by the using the technique of artificial intelligence applied to it. The intelligence for braking is provided by a fuzzy logic controller. The fuzzy logic controller is simulated using Matlab-Simulink fuzzy logic toolbox. Generally the Indian railways use two persons to operate a train and they employ a manual procedure for stopping the train in each station. The proposed fuzzy logic controller helps in reduction of manpower for the train operation. The simulated fuzzy logic controller gets activated at about 500 m from the station based on its decision with reference to the speed and distance, the train stops at the station smoothly and automatically.
基于模糊逻辑的列车自动制动系统
本文主要研究了将人工智能技术应用于列车制动系统的一种新方法。制动智能由模糊控制器提供。利用Matlab-Simulink模糊逻辑工具箱对模糊控制器进行仿真。一般来说,印度铁路用两个人来操作一列火车,他们采用手动程序来让火车在每个车站停下来。所提出的模糊控制器有助于减少列车运行的人力。仿真模糊控制器根据速度和距离的决定,在距车站约500 m处启动,列车平稳自动停站。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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