基于PLC模糊控制的智能交通系统  

Intelligent Traffic System Based on PLC Fuzzy Control

作　　者：韩伟娜 任宽 邵芸松 Han Weina;Ren Kuan;Shao Yunsong(College of mechanical and electrical engineering,North China Institute of Aerospace Engineering,Langfang 065000,China;Zhongke Wayzim Intelligent Manufacturing Technology Jiangsu Co.,Ltd.Wuxi 214000,China)

机构地区：[1]北华航天工业学院机电工程学院,河北廊坊065000 [2]中科微至智能制造科技江苏股份有限公司,江苏无锡214000

出　　处：《北华航天工业学院学报》2022年第5期1-3,共3页Journal of North China Institute of Aerospace Engineering

基　　金：河北省高等教育学会“十四五”规划课题(GJXHZ2021-33);北华航天工业学院本科教学研究与改革项目(JY202139)。

摘　　要：针对目前城市交通拥堵及车辆复杂的情况,设计了一种基于PLC模糊控制的智能交通系统。该系统分为两部分,第一部分是一种三级模糊控制器,通过对各相位车辆通行情况的监测,运用模糊控制规则,实现相序优化以及相应相位绿灯时间长度的调节。通过实验表明,该三级模糊控制器的通行效率比传统的模糊控制器通行效率高11%。第二部分是紧急情况通行模块,用于疏导特种车辆。并利用MCGS组态软件对其进行了测试,结果表明,该系统符合控制要求,适用于多种交通情况。An intelligent transportation system based on PLC fuzzy control is designed for the current urban traffic jam and complex vehicles. This system is divided into two parts. The first part is a three-level fuzzy controller. Through monitoring the traffic of vehicles in each phase,the fuzzy control rules are used to optimize the phase sequence and adjust the green time length of the corresponding phase.Experimental results show that the traffic efficiency of the three-stage fuzzy controller is 11% higher than that of the traditional fuzzy controller. The second part is the emergency passage module,used to dredge special vehicles. The MCGS configuration software is used to test the system,and results show that the system meets the control requirements and is suitable for a variety of traffic conditions.

关 键 词：智能交通系统 模糊控制 PLC 相序优化 MCGS 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]