中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 基于卡尔曼滤波算法的间接胎压监测方法 农机化研究 2007 (12) 80-84
Position: Home > Articles > The Research about the Method of Indirect tire Pressure Monitoring Based on Kalman Filter Algorithms Journal of Agricultural Mechanization Research 2007 (12) 80-84

基于卡尔曼滤波算法的间接胎压监测方法

作  者：
谭德荣;王艳阳;张莉
单  位：
山东理工大学交通与车辆工程学院
关键词：
公路运输;轮胎胎压;理论研究;卡尔曼滤波;纵向动力学模型;侧向动力学模型
摘  要：
为了提高现有间接胎压监测系统的性能,把数字信号处理方法与间接胎压监测系统相结合,提出了车辆纵向和侧向两个动力学模型,利用卡尔曼滤波方法得出了轮胎相对半径与胎压之间的关系。在该模型下(除模糊状态以外),可以监测到任何一种胎压降低的情况,并且不受车速和转向的影响,改善了现有间接胎压监测系统的准确性和可靠性。该方法只需要ABS系统自带的轮速传感器和一个陀螺仪,硬件开支小,软件实现简单,有很强的工程实用价值。
译  名：
The Research about the Method of Indirect tire Pressure Monitoring Based on Kalman Filter Algorithms
作  者：
TAN De-rong, WANG Yan-yang, ZHANG Li (Faculty of Traffic and Motor Vehicle Engineering, Shandong University of Technology, Zibo 255000,China)
关键词：
highroad convergence; pressure of tire; theoretical research; Kalman filter; longitudinal dynamics model; lateral dynamic model
摘  要：
The simplest indirect systems only monitors the difference in wheel speed, but to improve the performance, model based signal processing can be used. The basic idea behind this thesis, is to indirectly estimate the wheel radius via secondary existing sensors. Two dynamical vehicle models, in which the relative wheel radius is included as model parameters, are formed. With these models any combination of pressure loss in the tires except diffusion, can be detected. The systems improve the reliability of the simplest indirect systems. Since the systems only needs a gyro and four wheel speed sensors which are a basic component of normal anti-lock brake system , it could be easily realized in low cost and can be used in project.

相似文章

导出引用
计量
文章访问数: 9
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46