Wavelet-based artificial neural net combustion sensing
    2.
    发明授权
    Wavelet-based artificial neural net combustion sensing 失效
    基于小波的人工神经网络燃烧感测

    公开(公告)号:US06805099B2

    公开(公告)日:2004-10-19

    申请号:US10286619

    申请日:2002-10-31

    IPC分类号: F02M700

    摘要: A method and apparatus for real-time measurement of combustion characteristics of each combustion event in each individual cylinder coupled with an ability to control the engine based upon the combustion characteristics are shown. The invention includes using selective sampling techniques and wavelet transforms to extract a critical signal feature from an ionization signal that is generated by an in-cylinder ion sensor, and then feeds that critical signal feature into an artificial neural network to determine a desired combustion characteristic of the combustion event. The desired combustion characteristic of the combustion event includes a location of peak pressure, an air/fuel ratio, or a percentage of mass-fraction burned, among others. The control system of the engine is then operable to control the engine based upon the combustion characteristic.

    摘要翻译: 示出了用于实时测量每个单独气缸中的每个燃烧事件的燃烧特性的方法和装置,以及基于燃烧特性来控制发动机的能力。 本发明包括使用选择性采样技术和小波变换从由缸内离子传感器产生的电离信号提取关键信号特征,然后将该关键信号特征馈送到人造神经网络中以确定期望的燃烧特性 燃烧事件。 燃烧事件的期望的燃烧特性包括峰值压力的位置,空气/燃料比或燃烧的质量分数的百分比等。 发动机的控制系统然后可操作以基于燃烧特性来控制发动机。