| 数据融合在轮速信号处理方面的研究 |
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| 引用本文： | 王辉,孙骏,蒋维龙.数据融合在轮速信号处理方面的研究[J].湖北汽车工业学院学报,2010,24(3):32-35. |
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| 作者姓名： | 王辉 孙骏 蒋维龙 |
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| 作者单位： | 1. 合肥工业大学,安徽,合肥,230009
2. 江淮汽车股份有限公司,安徽,合肥,230022 |
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| 基金项目： | 企业委托项目"ABS轮速传感器试验台性能测试" |
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| 摘 要： | 在轮速采集试验台采用双传感器采集数据,用多传感器卡尔曼滤波融合技术对其进行滤波处理,将处理结果和传统卡尔曼滤波比较,发现此方法能够比较精确的提取一些制动工况的特征参量,削减外界噪声,能够比较真实的反应制动规律。多传感器卡尔曼滤波融合技术能有效提高ABS控制性能。
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| 关 键 词： | 数据融合 轮速传感器 多传感器卡尔曼滤波 |
Research of Data Fusion in Signal Processing of Wheel Speed |
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| Wang Hui,Sun Jun,Jiang Weilong.Research of Data Fusion in Signal Processing of Wheel Speed[J].Journal of Hubei Automotive Industries Institute,2010,24(3):32-35. |
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| Authors: | Wang Hui Sun Jun Jiang Weilong |
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| Institution: | 1.Hefei University of Technology,Hefei 230009,China;2.Jianghuai Automobile Co.,Ltd.,Hefei 230022,China) |
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| Abstract: | The data of the wheel speed was collected in ABS platform using dual-sensor,which were filtered by multisensor data fusion technologies of Kalman Filter.Compared with the traditional Kalman filter,the results show this method can extract the characteristics parameters of braking condition,reduce external interference,reflect the laws of brake,and improve the active safety devices such as ABS performance. |
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| Keywords: | data fusion wheel speed sensor Kalman filter |
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