Vehicle ACC Control Based on Fuzzy PID

Abdurohman Abdurohman, He Xi Kang, Taufik Hidayat
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引用次数: 1

Abstract

ACC (Adaptive Cruise Control) is a crucial technology to control the automatic driving of a vehicle, which can automatically adjust the driving status of the vehicle according to the driving status of the vehicle in front so that the vehicle always keeps a safe distance from the vehicle in front, which can primarily relieve the driver's driving pressure and avoid tailgating. The research is of great significance to the realization of intelligent driving of vehicles. In this paper, the fuzzy PID control method is used to study the vehicle ACC system. Firstly, the basic concept and key components of the ACC system are explained, the vehicle longitudinal dynamics model is established, and the primary ranges of ,  and  parameters are determined through simulation; based on this, the fuzzy PID control algorithm of vehicle ACC is designed considering three different driving conditions of fixed speed and following cruise mode. The fuzzy PID control algorithm of the vehicle ACC system is designed and established. The joint simulation model of MATLAB is used to simulate the vehicle ACC system under three different driving conditions. The simulation results show that the vehicle ACC system designed in this paper ensures the safety and stability of following the vehicle while providing the vehicle's ride's comfort.
基于模糊PID的车辆ACC控制
ACC (Adaptive Cruise Control)是控制车辆自动驾驶的一项关键技术,它可以根据前车的行驶状态自动调整车辆的行驶状态,使车辆始终与前车保持安全距离,从根本上缓解驾驶员的驾驶压力,避免追尾。该研究对实现车辆智能驾驶具有重要意义。本文采用模糊PID控制方法对汽车自动控制系统进行了研究。首先,阐述了ACC系统的基本概念和关键部件,建立了车辆纵向动力学模型,并通过仿真确定了系统的主要范围和参数;在此基础上,设计了车辆ACC的模糊PID控制算法,考虑了固定速度和跟随巡航模式三种不同的行驶工况。设计并建立了车辆自动控制系统的模糊PID控制算法。利用MATLAB的联合仿真模型对三种不同工况下的车辆ACC系统进行了仿真。仿真结果表明,本文设计的车辆ACC系统在保证车辆行驶安全性和稳定性的同时,还能提供车辆的乘坐舒适性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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