基于模糊控制的汽车自动紧急制动乘员离位仿真分析研究

Research on Simulation and Analysis of Occupant Displacements in Automatic Emergency Braking Based on Fuzzy Control

自动紧急制动系统能够避免追尾事故的发生或者降低碰撞强度。为降低乘员紧急制动阶段的惯性载荷,从而减小乘员离位带来的损伤风险,提出一种以碰撞时间和相对速度为输入、制动压力为输出的模糊控制器,利用PreScan及Simulink软件联合仿真,建立了基于模糊控制的紧急制动模型。采用主动人体模型分析乘员在紧急制动过程中离位的情况。结果表明:运用基于模糊控制原理设计的紧急制动系统模型,制动前期乘员头部和胸部位移量分别减小62%和80%,有效地提高了乘员紧急制动阶段的安全性。

Vehicles equipped with Autonomous Emergency Braking(AEB)system can avoid accidents or mitigate the severity of collision.The purpose of this research aims at reducing the inertia load of the occupant during the emergency braking phase and the risk of injury caused by the occupant leaving the position.A fuzzy controller with the time to collision(TTC)and relative speed as inputand braking pressure as output was proposed,and the AEB emergency braking model based on fuzzy control was established using PreScan and Simulink soft ware.Finally,Active Human Model(AHM)was used to analyze the occupant’s dislocation during emergency braking.The results show that using the designed fuzzy controller can reduce the occupant’s head and chest displacements by 62%and 80%respectively in the early stage of emergency braking,which can effectively improve the occupant’s safety during the emergency braking stage.