A virtual level temperature compensation system based on information fusion technology

Author

Song, Zheying ; Liu, Chaoying ; Song, Xueling ; Zhao, Yingbao ; Wang, Jun

Author_Institution

Coll. of Electr. Eng. & Informational Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang

fYear

2007

fDate

15-18 Dec. 2007

Firstpage

1529

Lastpage

1533

Abstract

The output of ultrasonic object-location meter changes with the environmental temperature. In order to eliminate such a situation, a new information fusion algorithm based on neural network is presented. A virtual ultrasonic object-location measurement temperature compensation system is realized based on a method of the hybrid programming of MATLAB and LabVIEW with MATLAB Script node. A improved BP algorithm - LM algorithm is used to train the neural network, it can improve the data´s convergent speed. Experimental results show that the method can eliminates impacts of temperature to object-location and improves the accuracy of sensor. This virtual object-location measurement system based on BP neural network is of wide and factual application value.

Keywords

compensation; mathematics computing; neural nets; sensor fusion; hybrid programming; information fusion technology; neural network; ultrasonic object-location meter; virtual level temperature compensation system; virtual object-location measurement system; Calibration; Integrated circuit measurements; MATLAB; Neural networks; Probes; Temperature measurement; Temperature sensors; Time measurement; Ultrasonic variables measurement; Velocity measurement; LM algorithm; LabVIEW; information fusion; neural network; ultrasonic;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-1761-2

Electronic_ISBN

978-1-4244-1758-2

Type

conf

DOI

10.1109/ROBIO.2007.4522391

Filename

4522391