模糊滤波技术在转速信息处理中的应用

Application of Fuzzy Adaptive Filter in Signal Processing of Vehicular Revolution

信息处理技术是实现车辆起步的关键．对于转速脉冲信号，因包含高速过零脉冲信息，故其滤波技术十分困难．为此，引入人工智能推理方法，利用模糊逻辑技术和专家经验分别为车辆发动机和变速箱中间轴转速信号设计了模糊自适应滤波器，并在ＡＭＴ（电控机械式自动变速车辆）上进行了试验．对于高频转速信号，由于干扰脉冲频率与有用信号的频率接近，采用常规滤波技术，滤波后的信号严重失真，采用本文设计的模糊自适应滤波器，其滤波效果很好．

Technique of signal processing is the key of vehicle standing start control. It is difficult to design a filter for the revolutionary signal with High Speed Cross Zero Pulse(HSCZP). And so, a fuzzy reasoning method is introduced into adaptive filtering technique, in which the expert's experience is applied. Experiments are conducted in Automatic Mechanical Transmission(AMT) vehicles. The results indicate that, it is of inefficiency to apply normal filtering technique to the high frequency revolutionary signal with HSCZP, as the frequencies are closely; while the effect of the adaptive fuzzy filter designed in this paper is good.