城市轨道交通列车自动驾驶系统控制算法研究与仿真

Research and Simulation of Automatic Train Operation System in Urban Rail Transit

首先介绍了列车自动驾驶系统,分析了列车自动驾驶系统传统PID控制算法,提出了一种基于模糊自适应PID控制的列车驾驶智能算法。在Matlab软件环境下构建列车运行仿真模型,运用实际线路进行仿真比较,与PID控制算法的对比结果表明,该算法优于PID控制算,具有响应速度快、超调量小、稳态性能好、工况转换时具有较好的适应性等特点。

in this paper,Automatic Train Operation System（ATO） is introduced.Furthermore,PID control algorithm is analyzed detailedly.Finally,Fuzzy self-adaptive PID control algorithm applicable to Automatic Train Operation System is proposed in this paper.By building a simulation model in the Matlab software environment and using actual line data,the algorithm is verified.Comparison with PID shows that the algorithm is better than PID.