Real-Time Accurate Measurement Algorithm for Tractor Driving Wheel Slip Rate

被引：0

作者：

Zhou, Zhili ^{[1
]}

Wu, Yiwei ^{[1
]}

Wang, Jun ^{[1
]}

Chen, Jiaxin ^{[2
]}

Li, Zhanqiang ^{[3
]}

机构：

[1] Henan Univ Sci & Technol, Sch Vehicle & Traff Engn, Luoyang, Peoples R China

[2] Henan Univ Sci & Technol, Sch Int Educ, Luoyang, Peoples R China

[3] Luoyang Ferguson Machinery Equipment Co Ltd, Luoyang, Peoples R China

来源：

2019 13TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | 2019年

关键词：

tractor; slip rate; information fusion; adaptive parallel Kalman filter; noise observer; KALMAN FILTER; NETWORK; SYSTEM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Aiming at the difficulty in measuring real-time and accurate value of tractor driving wheel slip rate during operation, an information fusion algorithm with noise observer is put forward based on the adaptive parallel Kalman filter. By fusing signals of the wheel speed sensor, angular acceleration sensor, accelerometer and GPS, the online accurate real-time measurement of tractor driving wheel slip rate is realized on the premise that no priori error statistical law is needed. The simulation results demonstrate that the measurement accuracy of the above algorithm is significantly better than that of other algorithms.

引用

页数：4

共 20 条

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