Signal Processing of Giant Magnetostritive Force Sensors

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Abstract:

Based on the analysis of the principle of giant magnetostrictive force sensor, the signal processing system of the sensor has been designed. First, this paper designs manual and automatic working mode for the giant magnetostrictive force sensor. Using SCM as a micro-controller, its peripheral interface circuits hardware system have been designed, including signal amplification circuit, analog to digital (A/D) conversion interface circuit, LED display interface circuit, determinant keyboard input interface circuit and imposing force control circuit. This system is able to display the numerical value of the imposed force. The software of the whole system is designed. Experiments are conducted to show that the signal processing system works well, which is important to practical application of the giant magnetostritive force sensor.

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Periodical:

Advanced Materials Research (Volumes 834-836)

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988-993

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Online since:

October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yang Qingxin, Yan Rongge, Fan Changzai, and et al. IEEE Trans. on Magnetics, Vol. 43, No. 4 (2007), p.1437.

Google Scholar

[2] Li Wenxian, Yu kun, Tan Dunqiang, and et al. Mining and Metallurgical Engineering, Vol. 20, No. 3 (2000), p.64.

Google Scholar

[3] Li Songtao, Meng Fanbin, Liu Heyan, and et al. Physics, Vol. 33, No. 10 (2004), p.748.

Google Scholar

[4] Yan Rongge, Yang Qingxin, Yang Wenrong, Hou Shuping, Liu Fugui and Yan Weili. International Journal of Applied Electromagnetics and Mechanics, Vol. 33, No. (1-2) (2010), p.293.

DOI: 10.1109/cefc-06.2006.1633070

Google Scholar

[5] Yan R., Yang Q., Yang W., Hou S. and Yan W. IEEE Trans. On Applied Superconductivity, Vol. 20, No. 3 (2010), p.1874.

Google Scholar

[6] Kwun H and Bartels K.A. Ultrasonics, Vol. 36, No. 5 (1998), p.171.

Google Scholar

[7] Kwun H and Light G.M. Oil and Gas Journal, Vol. 98, No. 21 (2000), p.77.

Google Scholar

[8] Wen Xiqin, Du Yuling and Zhang Yongzhong. Instrument and Sensor Technology, Vol. 2 (2005), p.56.

Google Scholar

[9] Fan Changzai, Yan Rongge, Yang Wenrong, and et al. Proceedings of the Sixth World Congress on Intelligent Control and Automation, Vol. 12, No. 7 (2006), p.5367 (In Chinese).

DOI: 10.1109/wcica.2006.1714096

Google Scholar