基于MIMO类脑情感学习回路的横-纵向综合控制驾驶员模型

doi:10.13229/j.cnki.jdxbgxb20181224

摘要/Abstract

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。

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

Abstract:

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.

Key words: 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

中图分类号:

U491

隋振,姜源. 基于MIMO类脑情感学习回路的横-纵向综合控制驾驶员模型[J]. 吉林大学学报(工学版), 2020, 50(1): 140-146.

Zhen SUI,Yuan JIANG. Driver model based on transverse and longitudinal integrated control of MIMO brain-like emotional learning circuits[J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 140-146.

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