基于模糊决策与神经网络的汽车安全气囊多级触发控制算法

Algorithm For Airbag Multi-Deployment Control Using Fuzzy Logic And Neural Network

建立了安全气囊触发控制的模糊神经网络模型,通过编程训练使其识别不同碰撞强度,实现安全气囊的多级触发。安全气囊多级触发可减免低速碰撞双气囊同时触发造成的经济损失和气囊触发对乘员造成的冲击伤害,同时高速碰撞时双气囊同时触发加强对乘员的保护,使控制算法适应安全气囊智能化发展的要求。

Fuzzy neural network model is established for airbag′s deployment control. This neural network model can recognize impacts of all different degrees defined by programming test so that the realization of multi-deployment in airbag is finished. Airbag of multi-deployment can either decrease economical lost or reduce harm to the passengers due to a double airbags deployment at low speed impact. However double airbag when they are deployed at the same time and at high speed impact will enhance protection of passengers, which makes this algorithm suit to the development of airbag intelligence.