| 基于人工神经网络的汽车安全气囊点火控制算法 |
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| 引用本文： | 尹武良,张金换,黄世霖.基于人工神经网络的汽车安全气囊点火控制算法[J].清华大学学报(自然科学版),1999,39(11):0mod. |
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| 作者姓名： | 尹武良 张金换 黄世霖 |
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| 作者单位： | 清华大学,汽车工程系,北京,100084 |
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| 基金项目： | 国家“九五”科技攻关项目 |
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| 摘 要： | 气囊点火控制是气囊系统的关键技术。点火控制算法要有抗干扰能力，要确定最佳的点火时刻。针对这一问题，提出了一种基于人工神经网络的汽车安全气囊点火控制算法。该方法利用减速度信号为输入，构造一种人工神经网络，使其输出表征汽车碰撞强度，从而实现准确点火。利用该方法有助于深入研究气囊控制规律，提取气囊点火控制规则。经过多次台车碰撞试验，证明了这种算法的有效性
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| 关 键 词： | 人工神经网络 安全气囊 控制 算法 |
| 修稿时间： | 1999-02-24 |
Algorithm for airbag actuation based on artificial neural network |
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| YIN Wuliang,ZHANG Jinhuan,HUANG Shilin.Algorithm for airbag actuation based on artificial neural network[J].Journal of Tsinghua University(Science and Technology),1999,39(11):0mod. |
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| Authors: | YIN Wuliang ZHANG Jinhuan HUANG Shilin |
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| Abstract: | Airbag deployment control is the key technology in airbag control system. Robustness and precision are important criteria to the deployment algorithms. To meet these criteria, an algorithm for airbag actuation based on artificial neural network was developed. Taking acceleration pulse as input, the back propagation network indicates the crash intensity and makes the decision to deploy precisely. This method is useful in studying airbag actuation guidelines. This algorithm has been proved to be valid by testing. |
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