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模糊自适应滤波技术在AMT车辆信息处理中的工程应用
The Fuzzy Adaptive Filter for the AMT Vehicle
【摘要】 准确和快速的信息处理技术是实现车辆起步控制的关键。对于模拟信号,采用常规的在线滤波技术便可获得较理想的效果,但对于转速脉冲信号,因为包含高频过零脉冲,其滤波技术十分困难,为此本文引入模糊推理技术,采用人工智能的方法进行自适应滤波,实验证明,其滤波效果十分明显。
【Abstract】 The key to the vehicle standing start control is the technique of quickly and accurately processing its signals. To the analogy signals, the ideal results can be gained with the typical on-line flitting technique, but to the revolution signals, It’s very diffiult because of the High - Speed - Zeropassage-Pusle being included in it.And so, the fuzzy reasoning methods introduced into the adaptive flitting technique in this paper and the tests indicate its effect in the end.
【关键词】 自动变速器;
自动离合器;
模糊逻辑;
人工智能;
自适应滤波;
【Key words】 Automatic Transmission Automatic clutch Fuzzy logic Artificial Intelligence Adaptive filter;
【Key words】 Automatic Transmission Automatic clutch Fuzzy logic Artificial Intelligence Adaptive filter;
【基金】 国家自然科学基金;福特与中国研究与发展基金
- 【文献出处】 信号处理 ,SIGNAL PROCESSING , 编辑部邮箱 ,1998年03期
- 【分类号】U46
- 【被引频次】7
- 【下载频次】118