| 基于安全距离模型的车辆跟随控制策略研究 |
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| 引用本文： | 关志伟,丁建峰,闫光辉.基于安全距离模型的车辆跟随控制策略研究[J].汽车技术,2019(6):36-40. |
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| 作者姓名： | 关志伟 丁建峰 闫光辉 |
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| 作者单位： | 天津职业技术师范大学 |
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| 基金项目： | 天津市人工智能科技重大专项(17ZXRGGX00070);天津市科技发展战略研究计划重点招标项目(18ZLZDZF00390) |
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| 摘 要： | 针对车辆协同驾驶领域中的跟随过程,建立了安全距离控制模型,采用BP神经网络PID控制策略设计了控制器,并通过MATLAB/Simulink软件进行仿真分析,将BP神经网络PID控制与传统PID控制的控制效果进行了对比,最后运用缩微环境下的智能车辆系统试验平台设计了Update算法,完成了跟随试验验证。仿真和试验结果表明,本文设计的智能控制器减小了车间距误差,提高了控制准确性,能满足车辆安全跟随行驶要求。
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| 关 键 词： | 安全距离模型 BP神经网络PID控制器 缩微智能车 车间距误差 |
Research on Vehicle Following Control Strategy Based on Safe Distance Model |
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| Guan Zhiwei,Ding Jianfeng,Yan Guanghui.Research on Vehicle Following Control Strategy Based on Safe Distance Model[J].Automobile Technology,2019(6):36-40. |
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| Authors: | Guan Zhiwei Ding Jianfeng Yan Guanghui |
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| Institution: | (Tianjin University of Technology and Education, Tianjin 300222) |
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| Abstract: | A safe distance control model is established for the follow-up process in the field of vehicle coordinated driving. The controller is designed by BP neural network PID control strategy, and the simulation is carried out with Matlab/ Simulink software. BP neural network PID control is compared with the traditional PID control in term of control effect. Finally, the Update algorithm is designed using the experimental platform of the intelligent vehicle system in the micro- environment, and the following experiment verification is completed. The simulation and experimental results show that the intelligent controller designed in this research reduces the inter-vehicle distance error, improves the accuracy of control, and can meet the requirement of safe follow-up driving of vehicles. |
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| Keywords: | Safe distance model BP neural network PID controller Miniature intelligent vehicle Inter-vehicle distance error |
| 本文献已被 CNKI 维普 等数据库收录！ |
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