| 基于粒函数的浅层轨道交通精准停车控制的设计与仿真 |
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| 引用本文： | 陈静,殷业,石朝晖,周伟.基于粒函数的浅层轨道交通精准停车控制的设计与仿真[J].上海师范大学学报(自然科学版),2020,49(1):83-88. |
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| 作者姓名： | 陈静 殷业 石朝晖 周伟 |
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| 作者单位： | 上海师范大学信息与机电工程学院,上海 201418;上海师范大学信息与机电工程学院,上海 201418;上海师范大学信息与机电工程学院,上海 201418;上海师范大学信息与机电工程学院,上海 201418 |
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| 基金项目： | Project supported by the National Natural Science Foundation of China (60971004) |
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| 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.
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| 关 键 词： | 浅层轨道交通 精准停车 模糊控制 粒函数 |
| 收稿时间： | 2019/12/4 0:00:00 |
Design and simulation of precise parking control for shallow rail transit based on granular function |
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| CHEN Jing,YIN Ye,SHI Chaohui and ZHOU Wei.Design and simulation of precise parking control for shallow rail transit based on granular function[J].Journal of Shanghai Normal University(Natural Sciences),2020,49(1):83-88. |
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| Authors: | CHEN Jing YIN Ye SHI Chaohui and ZHOU Wei |
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| Institution: | College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201418, China,College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201418, China,College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201418, China and College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201418, China |
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| Abstract: | 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. |
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| Keywords: | shallow rail transit precise parking fuzzy control granular function |
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