摘要
创新性地引入多输入多输出的大脑情感学习回路模型(MIMO-BEL),从认知过程出发建立了横-纵向综合控制驾驶员模型。利用大脑情感学习回路模型对不确定性系统的自适应控制能力,实现了驾驶员模型对车辆横纵向控制的解耦。最后,基于MIMO-BEL建立了横-纵向综合控制驾驶员模型,仿真结果表明,基于MIMO-BEL的横-纵向综合控制驾驶员模型具有良好的道路和车辆纵向加速度跟随精度。
In this paper,a Multiple Input and Multiple Output Brain-like Emotional Learning Loop model(MIMO-BEL) was introduced,and a driver model was proposed with comprehensive transverse and lengthways control built on cognitive process. By using the adaptive control ability of the brain-like emotional learning loop model to the uncertain system,the driver model can decouple the transverse and lengthways control of the vehicle. Finally,based on the MIMO-BEL,the driver model of the transverse and lengthways integrated control is established. The simulation results show that the proposed driver model possesses good following accuracy of road and speed of vehicle.
作者
隋振
姜源
SUI Zhen;JIANG Yuan(College of Communication Engineering,Jilin University,Changchun 130022,China)
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2020年第1期140-146,共7页
Journal of Jilin University:Engineering and Technology Edition
基金
电动汽车智能辅助驾驶技术研发及产业化项目(2016YFB0101102).
关键词
交通运输系统工程
驾驶员模型
多输入多输出
类脑情感学习回路模型
横-纵向综合控制
不确定系统
traffic and transpotation systems engineering
driver model
multiple input and multiple output
brain-like emotional learning loop model
transverse and lengthways integrated control
uncertain system
