基于通用工业控制平台的列车自动驾驶仿真系统  

Train driving simulation system based on general industrial control platform

作　　者：郑成斌 郑松[2] 李贝贝[2] 陈德旺 

机构地区：[1]福州大学数学与计算机科学学院,福州350108 [2]福州大学先进控制技术研究中心,福州350116

出　　处：《计算机应用》2017年第A02期263-265,278,共4页journal of Computer Applications

基　　金：福建省闽江学者启动经费资助项目(510146);工信部倍增计划项目(00101522)

摘　　要：针对目前列车自动驾驶仿真系统存在的实时性不高和对实际控制系统直接移植性差等问题,提出了基于通用工业自动化控制平台(IAP)设计的列车自动驾驶仿真系统。利用工业自动化平台中的图像显示、程序控制、逻辑控制和数据监控相分离的组态技术,结合对福州地铁一号线的实际运行数据研究和建模,开发、实现了列车自动驾驶仿真系统,并在此基础上研究了基于多目标的列车自动驾驶算法。仿真结果表明,基于工业自动化控制平台的列车自动驾驶仿真系统具有出色的控制性能和数据并行处理能力。再者,该仿真系统更容易移植到实际控制系统中,提升了列车自动驾驶仿真研究的实用性和扩展性。Concern the problem that the real-time performance of train automatic driving simulation system was not high and the direct portability of the actual control system was poor, a new idea of automatic driving simulation system based on general Industrial Automation Platform（ IAP） was proposed. Based on image display, program control, logic control and data monitoring phase separation of the configuration technology of IAP platform, develop and realize the train automatic driving simulation system, combined with the actual operation data of Fuzhou subway line, and studied the multi-objective Train automatic driving algorithm. The experimental results show that the automatic driving simulation system based on IAP platform had excellent control performance and data parallel processing capability. More importantly, the simulation system was very easy to transplant directly to the actual control system, to enhance the train automatic driving simulation of the practicality and scalability.

关 键 词：列车自动驾驶系统 工业自动化控制平台 组态技术 列车自动驾驶算法 多目标优化 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]