基于粒函数的浅层轨道交通精准停车控制的设计与仿真  

Design and simulation of precise parking control for shallow rail transit based on granular function

作　　者：陈静 殷业[1] 石朝晖 周伟 CHEN Jing;YIN Ye;SHI Chaohui;ZHOU Wei(College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,Shanghai 201418,China)

机构地区：[1]上海师范大学信息与机电工程学院,上海201418

出　　处：《上海师范大学学报（自然科学版）》2020年第1期83-88,共6页Journal of Shanghai Normal University(Natural Sciences)

基　　金：supported by the National Natural Science Foundation of China(60971004)。

摘　　要：设计了一种新型的浅层轨道交通,该系统适用于人口密集、交通拥挤区域的地下浅层,表面使用透明玻璃封顶,浅层沟内运行小型轨道列车.基于这种新型浅层轨道交通系统建立对应列车模型,提出基于粒函数的模糊控制算法,并分别设计了比例-积分-微分(PID)控制器和模糊粒函数控制器对其精准停车进行车速控制.仿真实验表明:该设计的跟踪性能强于PID控制器,停车精度也较高.A new type of shallow rail transit was designed,which was suitable for the shallow underground of densely populated and congested areas.The surface was covered with transparent glass with the small rail train running in the shallow trenches.A corresponding train model was established based on the system,and a fuzzy control algorithm with granular function was proposed.Simultaneously,a proportional-integral-derivative(PID)controller and a fuzzy granular function controller were designed to control the speed of precise parking.The simulation experimental results showed that the tracking performance of the design was better than that of the PID controller,and the parking accuracy was also improved.

关 键 词：浅层轨道交通 精准停车 模糊控制 粒函数 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]