智能型汽车安全气囊点火控制算法

Algorithm Research on Airbags Ignition Control of Intelligent Automobile

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.