基于模型预测控制的改进型弯道车辆跟随控制系统

Zongwei Cui, Xiaotian Xia, Xiaofei Pei
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引用次数: 1

摘要

本文提出了一种解耦控制框架来实现车辆自动跟随。将人类驾驶员在弯曲道路上的习惯融入到控制器中。首先给出了车辆跟随控制系统的总体结构。其次,在上层控制器中,采用预览g矢量控制(PGVC)建立车辆纵向运动关系;因此,在车辆跟随过程中,根据道路轮廓的变化来调整主车辆的加速度。然后,在MPC结构中加入前车在预测视界的加速度预测器。此外,还分别提出了一种实用的加速度跟踪下位控制器。仿真结果表明,该控制框架具有良好的弯道车辆跟随性能,速度特性更接近人的驾驶行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Modified Vehicle Following Control System on the Curved Road Based on Model Predictive Control
In this paper, a decoupled control framework is developed to fulfill the automated vehicle following. Human driver's habits on curved road are incorporated into controller. Firstly, the overall structure of vehicle following control system is given. Secondly, in the upper-level controller the motion relation of vehicle longitudinal is set up by Preview G-Vectoring Control (PGVC). Hence, the acceleration of host vehicle is adjusted according to the variety of road contour during vehicle-following. Then, an acceleration-predictor of preceding vehicle in prediction horizon is also incorporated into MPC structure. Moreover, a practical lower-level controller for acceleration follow is proposed respectively. Finally, simulation results demonstrate the control framework has good performance of vehicle-following ability on the curved road, and its velocity characteristic is more similar with human's driving behavior.
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