人工智能磁流变汽车智能制动技术研究

Research of vehicle intelligent brake control based on neural network and magneto-rheological fluid

有些交通事故是由于制动不当造成的。文中在给定最大减速度、制动前的初速度及制动距离的情况下,利用人工神经网络原理与磁流变液制动技术相结合对汽车制动进行智能控制,并通过Matlab/Simulink仿真分析软件对某型号汽车进行了试验研究,结果表明该研究可以达到汽车智能适度制动的目的,对于提高汽车制动的安全性及舒适度具有重要意义,蕴藏巨大的商业价值。

Some traffic accidents are caused by the improper braking. In the cites of the given maximal deceleration and the vehicle speed and braking distance ,this paper uses the principle of neural network combined with magneto-theological fluid brake technology to intelligently control the vehicle＇s brake,and makes an experimental research of a certain model car through the Mat- lab/Simulink simulation analysis software,which shows that the re- search can achieve the purpose of intelligent moderate braking. It is of great significance to improve the safety and comfort of vehicle brake and has huge commercial value.