The Study of Improving the Speed and Precision in Weigh-in-Motion System

Yan Xia Wang; Ting Hu Zhang

doi:10.4028/www.scientific.net/AMR.461.123

Paper Titles

Fuzzy Control for Variable Cooling Water Flow System
p.105

A DNA-PID Controller for an Industry Robot
p.109

Influence of Snowy Pavement on Driver’s Characteristics of Fixation and Saccade
p.113

Abnormal Voice Detection Algorithm Based on Semi-Supervised Co-Training Algorithm
p.117

The Study of Improving the Speed and Precision in Weigh-in-Motion System
p.123

Study on Driver’s Safety Sense Rule Based on Perception Speed at Daytime and Night
p.128

The Fast Diagonal-Matrix-Weight IMM Algorithm for Target Tracking
p.132

Level Set Based Modeling of Electrowetting on Dielectrics Droplet
p.138

Feasibility Study on Building Distributed Virtual Environment Using Mobile Agent Technology
p.142

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461The Study of Improving the Speed and Precision in...

The Study of Improving the Speed and Precision in Weigh-in-Motion System

Abstract:

In order to increase the speed by which the WIM system allows the vehicles to go through from it and improve the precision, the process of the system is analyzed and the physics and mathematics model of the system is introduced. According to the characteristics of the model, adapting the method of adaptive compensation with pole placement to shorten the transition time, and adopt FIR digital filters basing on haiming window function to decrease the effect of disturbance on the system, thus improve the speed and precision of the system

You might also be interested in these eBooks

Advanced Building Materials and Structural Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 461)

Pages:

123-127

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.123

Citation:

Cite this paper

Online since:

February 2012

Authors:

Yan Xia Wang, Ting Hu Zhang

Keywords:

FIR Digital Filters, Pole Placement Adaptive Compensation, Weigh-in-Motion

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Shi Changyan. Modern weighing technology [M]. Beijing: China metrology press，(2000).

Google Scholar

[2] Wang Zhenqing. Introduction of Highway overloaded[M]. Beijing: People's traffic press, (1997).

Google Scholar

[3] W.Q. Shu, Dynamic weighing under Nonzero Initial Conditions. IEEE Transactions on Instrumentation and Measurement, Vol. 42, No. 4, august (1993).

DOI: 10.1109/19.234489

Google Scholar

[4] Mao Jiandong, Modeling of dynamic weighing system and parameter estimation [J], Sensor and micro system, 2006，25(6)，72-74.

Google Scholar

[5] Huang Junqin, Practical modeling method of Static and dynamic mathematical model Beijing: mechanical industry press, 1988: 278-33.

Google Scholar

[6] Wu Zhenshun, Adaptive control theory and application, Harbin industrial university press, (2005).

Google Scholar

[7] Li baoan, Li Hangshan, Luo Xian , Dynamic calibration of measurement error of dynamic weighing system [J]. Instrumentation journal 2001，22(3): 251-254.

Google Scholar

[8] Jin Yihui, Process control, 1998. 1, Tsinghua university press.

Google Scholar

[9] Wang Zhenrong. Factors of dynamic electronic truck scale measurement accuracy and countermeasures [J]. weighing apparatus, 2001, (5) : 33-36.

Google Scholar

[10] ChenJiZong, Digital signal processing spectrum calculation and filter design, Electronic Industry Press, 2002. 09.

Google Scholar