Based on Multi-Sensor Data Fusion Operating Machinery Velocity Monitoring System

Article Preview

Abstract:

Against the shortcomings such as high price and low precision , big error leading with land wheel exist shift phenomenon in traditional tachometry, raised that the idea of using multisensor data fusion handles operating machinery speed in the field, introduced a fusion progress system structure and applied the kalman filter data fusion algorithm.This system which is based on ATS665 and GPS and mcu MSP430F1121 can work in operating machinery speed measurement and in car navigation and positioning system .The above_mentioned determines the high reliability,high cost perfomance and using easily.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

993-997

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yin Xiang,Lu Boyou,Zhong Yichong,Yang Wei.Journal of Agricultural Mechanization Research,2009(4): 237-240.

Google Scholar

[2] Zhao Bin,Kuang Lihong,Zhang Wei.Transactions of the Chinese Society of Agricultural Engineering,2010(2):147-153.

Google Scholar

[3] ATS6665LSG true zero –speed gear tooth sensor datasheet.  www.allegromicro.com

Google Scholar

[4] GT-710F High Sensitivity GPS engine board54 Channels SMD GPS Sensor Module datasheet. http://www.canmore.com.tw/

Google Scholar

[5] Xu Xiuying,Kuang Lihong,Zhang Pinxiu.Journal of Heilongjiang Bayi Agricultural University, 2010(5): 81-84

Google Scholar

[6] Gan Junying, Zhang Youwei. Joural of Wuyi University (Natural Science Edition), 1997(4): 64-67

Google Scholar

[7] Feng Bin.Transactions of The Chinese Society of Agricultural Machinery,2002(6): 83-85

Google Scholar

[8] Zhuang Wei-dong,LIU Zhen-dong,WANG Xi. Journal of Heilongjiang August First Land Reclamation University, 2003(2): 51-53

Google Scholar

[9] Wang Hui,Sun Jun,Jiang Weilong.Journal of Hubei Automotive Industries Institute,24 (3): 32-35.

Google Scholar

[10] LI Haiyan,LI Weijia,HUANG Yunbao. Engineering Journal of Wuhan University.2011(8), 44(4): 521-526

Google Scholar

[11] Tian Shijun,Tian Zengshan,Zhang Demin.Systems Engineering and Electronics, 2006(8), 28(8): 1147-1149.

Google Scholar

[12] XuQi, Cai Cong, Wang Yi-zhao. Journal of System Simulation,2011(11),23(11):2444-2448.

Google Scholar