期刊文献+

基于PID控制系统的车辆速度规划设计研究

Vehicle Speed Planning and Design Based on PID Control System
下载PDF
导出
摘要 通过交通灯与车辆进行协同控制,从而高效率地解决了道路拥堵等交通问题,是智能交通系统中比较先进的一项技术.基于汽车的动力性与油耗结合牛顿第二定律分别建立汽车的动力学模型与油耗模型.根据获取的交通灯信息和动力学模型分别获取不停车情况下通过路口交通灯时的参考速度和实际车速,然后运用PID控制算法对参考车速与实际车速的误差进行调节并进行仿真.结果表明,该速度规划可有效减少路口车均延误以及不必要的停车次数. The coordinated control of traffic lights and vehicles can efficiently solve traffic problems such as road congestion.It is a relatively advanced technology in intelligent transportation systems.Based on the dynamic performance and fuel consumption of the vehicle combined with Newton′s second law,the dynamic model and fuel consumption model of the vehicle are established respectively.According to the obtained traffic light information and dynamic model,the reference speed and the actual speed when passing the traffic light at the intersection without stopping are obtained respectively,and then the PID control algorithm is used to adjust and simulate the error between the reference speed and the actual speed.The results show that the speed planning can effectively reduce the average vehicle delay and unnecessary stopping times at the intersection.
作者 王锦谟 Wang Jinmo(Anhui Vocational College of Grain Engineering)
出处 《哈尔滨师范大学自然科学学报》 CAS 2022年第5期72-75,共4页 Natural Science Journal of Harbin Normal University
基金 2021年度安徽省高等学校自然科学研究项目(KJ2021A1559) 2022年安徽粮食工程职业学院质量工程项目(Ahly2022025) 2022年高校学科(专业)拔尖人才学术资助项目(gxbjZD2022164)
关键词 速度规划 动力学模型 PID控制 SIMULINK仿真 Speed Planning Dynamic Model PID Control Simulink Simulation
  • 相关文献

参考文献8

二级参考文献35

  • 1周程.物流配送路径优化策略研究[J].武汉理工大学学报(交通科学与工程版),2005,29(5):797-800. 被引量:22
  • 2GUO Qinglai,XIN Shujun,SUN Hongbin,et al.Rapid-charging navigation of electric vehicles based on real-time power systems and traffic data[J].IEEE Transactions on Smart Grid,2014,5(4):1969-1979.
  • 3XIN Shujun,GUO Qinglai,SUN Hongbin,et al.A hybrid simulation method for EVs’operation considering power grid and traffic information[C]//IEEE Power and Energy Society General Meeting(PES).Vancouver,BC,2013:1-5.
  • 4Schneider M,Stenger A,Goeke D.The electric vehicle-routing problem with time windows and recharging stations[J].Transportation Science,2013,48(4):500-520.
  • 5Erogan S,Miller-Hooks E.A green vehicle routing problem[J].Transportation Research,2012,48(1):100-114.
  • 6Conrad R G,Figliozzi M A.The recharging vehicle routing problem[C]//2011 Industrial Engineering Research Conference.Reno,NV,2001.
  • 7Mhar S,Remy G.EV-planning:Electric vehicle itinerary planning[C]//2013 International Conference on Smart Communications in Network Technologies(SaCoNeT).Paris,2013:1-5.
  • 8Ombuki B,Ross B J,Hanshar F.Multi objective genetic algorithms for vehicle routing problem with time windows[J].Applied Intelligence,2006,24(1):17-30.
  • 9Kobayashi Y,Kiyama N,Aoshima H,et al.A route search method for electric vehicles in consideration of range and locations of charging stations[C]//2011IEEE Intelligent Vehicles Symposium.Baden-Baden,2011:920-925.
  • 10Mariyasagayam M N,Kobayashi Y.Electric vehicle route assistance using forecast on charging station[C]//ENERGY2013:The Third International Conference on Smart Grids,Green Communications and IT Energy-Aware Technologies.Lisbon:IARIA,2013:134-142.

共引文献35

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部