基于T-S型模糊推理软切换的列车速度复合控制方法  

Composite control method for train speed based on T-S fuzzy inference soft switching

作　　者：董红生 史永伟 董煜 DONG Hongsheng;SHI Yongwei;DONG Yu(Electric Engineering College,Lanzhou Institute of Technology,Lanzhou 730050,China)

机构地区：[1]兰州工业学院电气工程学院,兰州730050

出　　处：《铁路计算机应用》2025年第1期9-14,共6页Railway Computer Application

基　　金：甘肃省高等学校创新基金项目(2022B-247)。

摘　　要：列车速度控制是列车自动运行(ATO,Automatic Train Operation)系统的核心,研究有效的列车速度控制算法对于提高列车调速性能具有重要作用。为此,文章提出基于T-S型模糊推理软切换的列车速度复合控制方法:将模糊控制和增益自调整单神经元PID(ProportionalIntegral Derivative)控制相结合,构成一种列车速度的复合控制方式;基于T-S型模糊推理实现2种控制的动态软切换。仿真测试表明,该方法充分发挥了2种列车调速控制的优势,且实现了平滑过渡,有效改善了列车调速响应的快速性和平稳性。Train speed control is the core of Automatic Train Operation(ATO) system,and researching effective train speed control algorithms plays an important role in improving train speed regulation performance.Therefore,this paper proposed a composite control method for train speed based on T-S type fuzzy inference soft switching:Combining fuzzy control with gain self-adjusting single neuron PID(Proportional Integral Derivative) control to form a composite control method for train speed;Based on T-S type fuzzy reasoning,implement dynamic soft switching of two types of control.Simulation tests show that this method fully utilizes the advantages of two types of train speed control and implements smooth transitions,effectively improves the speed and stability of train speed regulation response.

关 键 词：列车自动运行(ATO)系统 调速控制 增益自调整单神经元 T-S型模糊推理软切换 

分 类 号：U231.7[交通运输工程—道路与铁道工程] TP39[自动化与计算机技术—计算机应用技术]