智能型汽车安全气囊点火控制算法  

Algorithm Research on Airbags Ignition Control of Intelligent Automobile

作　　者：吴亮亮[1] 凌旭[1] 

机构地区：[1]重庆理工大学机械工程学院,重庆400054

出　　处：《重庆理工大学学报（自然科学）》2013年第8期10-13,40,共5页Journal of Chongqing University of Technology：Natural Science

基　　金：重庆理工大学研究生创新基金资助项目(YCX2012301)

摘　　要：汽车在行驶的过程中,由于对外界环境状态的判断失误,安全气囊常存在漏爆、误爆等问题,从而引起不必要的人员伤亡和财产损失。针对该问题,应用神经网络与模糊控制理论建立数学算法模型,确定安全气囊的精确点火时刻。将实验仿真与实际测试相结合得出实验数据,为安全气囊的精确点爆提供了技术支持。Due to wrong judgment of the outside environment condition, the problem of wrong explo- sion or the miss of explosion while driving the car often exist in airbags, thus causing unnecessary cas-ualties and property losses. In order to determine the optimal ignition moment of airbags, this paper u-ses the neural network and fuzzy control theory to establish the mathematical model of the algorithm, and through the experiment simulation combined with testing, providing technical support for the pre-cise point of detonation of the airbags.

关 键 词：人工神经网络 模糊控制 安全气囊 

分 类 号：U467[机械工程—车辆工程]