【摘要】 为解决汽车安全气囊适时、正确触发问题 ,将模糊逻辑与人工神经网络技术引入汽车安全气囊触发控制算法研究。整个判别系统以加速度序列为输入数据 ,5层人工神经网络为运算模型 ,经过特征提取、模糊量运算、结论性判定等步骤 ,最终以加速度与速度变化量为判别依据 ,提出了便于实施、运行可靠的控制算法并完成了相应的软件设计。整个算法具有运算量小、误判率低、所需训练样本数量少等特点。仿真结果证明了算法的有效性。更多还原

【Abstract】 The fuzzy logic and artificial neural network technologies are introduced into the algorithm for airbag deployment control, with a view to the appropriate and correct deployment of the airbag. The acceleration series is used as inputs, and then the calculation is finished through a 5- layer artificial neural network. Some steps such as feature extration, fuzzy quantity calculation, deployment judgment, and the changes of both speed and acceleration are taken as the base of judgment. The algorithm and related software are successfully developed. The algorithm has advantages of small quantity of calculations and training samples, as well as low error judgment rate due to the application of threshold judgment instead of model judgment. The effectiveness of the algorithm is identified by simulation.更多还原