Research on Decoupling of Multivariable System in MOEMS Three-Component Acceleration Seismic Geophone

De En; Xiao Bin Wang; Ning Ning Wang; Ning Bo Zhang; Jie Yu Feng

doi:10.4028/www.scientific.net/AMM.143-144.558

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 143-144Research on Decoupling of Multivariable System in...

Research on Decoupling of Multivariable System in MOEMS Three-Component Acceleration Seismic Geophone

Abstract:

We found the dynamic behavior of detected signals by MOEMS three-component acceleration seismic geophone has nonlinear, time-variation, multi-variable and strong-coupled. We proposed a method used a multivariable fuzzy-neural net work decoupling controller, designed and simulated the corresponding decoupling scheme. The results show that this method is stable and reliable, giving some help to the development of three-component acceleration seismic geophone.

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Applied Mechanics and Materials (Volumes 143-144)

Pages:

558-561

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.143-144.558

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Online since:

December 2011

Authors:

De En, Xiao Bin Wang, Ning Ning Wang, Ning Bo Zhang, Jie Yu Feng

Keywords:

Acceleration Seismic Geophone, Multivariable Decoupling, Neural Network (NN), Three-Component

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References

[1] Mario A. Gutierrez. 3-Dseismic interpretation of tectonic wrenching and faulting in La-cira-infantas[J]. Robert petroleum exploration. 5 (2000), pp.2-15.

Google Scholar

[2] Winterstein D.F. and Meadows, M, A, shear-wave polarization and subsurface stress direction at lost hill field [J]. Geophysics(1999).

Google Scholar

[3] Robert. E. Smyder, 3-Dseismic; proven applications, data management options [J]. World oil, 9(1996).

Google Scholar

[4] P.C. Wuenschel Removal of the detector-ground coupling in the vertical seismic profiling environment [J]. Geophysics, (1988).

DOI: 10.1190/1.1442469

Google Scholar

[5] Andrew Pap, criteria for selection of geophone parameters, hookups, phone spacing, and low-cut instrument filters, Amoco Canada petroleum Co. Ltd.

DOI: 10.1190/1.1894056

Google Scholar

[6] A. Liobera, J.A. Plaza, I. Salinas. Technological aspects on the fabrication of silicon-based optical accelerometer with ARROW structures [J]. Sensors and Actuators. 110(2004).

DOI: 10.1016/j.sna.2003.10.053

Google Scholar

[7] A. Liobera, J. A. Plaza, I. Salinas. ARROW-Based optical accelerometer[J]. Sensors(2002).

Google Scholar

[8] Kortela U, Ikonen E, Kotajarvi H. Modeling, simulation and control of fluidized bed combustion process[J]. International Journal of Power and Energy Systems(1994).

Google Scholar

[9] Z. Ai-Qodah M, Ai-Busoul, effect of magnetic field on local heat transfer coefficient in fluidized beds with in fluidized beds with immersed heating surface[J]. Journal of Heat Transfer(200l).

DOI: 10.1115/1.1336506

Google Scholar