Modified ANN Inverse Compensating Method for Two-Dimensional Sensor

Yu Han Ding; Guo Hai Liu; Xian Zhong Dai

doi:10.4028/www.scientific.net/AMM.303-306.266

Paper Titles

A Research on Key Management in Wireless Sensor Networks
p.247

Large Volume Urban Train Security Detection Sensor Network Structure
p.251

A Threshold-Based K-Means Algorithm for Selfish Behavior Detection in IEEE 802.15.4 Wireless Sensor Networks
p.255

Review and Perspective: Sensory Feedback in Upper Limb Prosthesis
p.261

Modified ANN Inverse Compensating Method for Two-Dimensional Sensor
p.266

Signal Detection Technology for Giant Magnetoresistance Sensors
p.270

Study on Volleyball Athletes Foot Pressure Acquisition Method
p.274

All Fiber Continuous-Wave Supercontinuum Source for Sensing
p.280

Array Normalization Algorithms Applied to Qualitative Electronic Noses
p.284

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Modified ANN Inverse Compensating Method for...

Modified ANN Inverse Compensating Method for Two-Dimensional Sensor

Abstract:

To improve the dynamic performance of the two-dimensional sensors, we presented a modified ANN (artificial neural network) inverse compensating method. The modified method is based on the state-space equation, which can fully describe the complex sensor and make the obtained inverse compensator more accurate, as well as decrease the derivative orders appeared in the inverse compensator. Simulation result verifies the modified compensator is more suitable to be used to compensate the complex two-dimensional sensor and the compensating result of the modified method is better that of the unmodified one.

You might also be interested in these eBooks

Sensors, Measurement and Intelligent Materials

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

266-269

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.266

Citation:

Cite this paper

Online since:

February 2013

Authors:

Yu Han Ding, Guo Hai Liu, Xian Zhong Dai

Keywords:

Artificial Neural Network (ANN), Inverse Compensation, State-Space Equations, Two-Dimensional Sensor

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] X. Z. Dai, M. Yin, Q. Wang and W. C. Wang, Artificial neural networks inversion based dynamic compensator of sensors, 2004 International Conference on Information Acquisition (2004), pp.258-261.

DOI: 10.1109/icia.2004.1373364

Google Scholar

[2] Y. H. Ding, X. Z. Dai, and C. M. Ma, Development of ANN inverse compensator for two-dimensional force sensor, International Conference on Information and Automation (2009), pp.162-166.

DOI: 10.1109/icinfa.2009.5204913

Google Scholar

[3] X. Z. Dai, W. C. Wang, Y. H. Ding and Z. Y. Sun: Computers and Chemical Engineering, Vol. 30, No. 8 (2006), pp.1203-1225.

Google Scholar

[4] K. Liao, Z. Li, Mathematical Analysis, Higher Education Press (1987) (In Chinese).

Google Scholar

[5] K. J. Xu, Research and application for dynamic performance of sensors. 1st Edition, University of Science and Technology of China, Hefei (1999) (In Chinese).

Google Scholar

[6] W. C. Wang, X. Z. Dai, An Interactor Algorithm for Invertibility in General Nonlinear Systems, IEEE World Congress on Intelligent Control and Automation, Vol. 1 (2004), pp.59-63.

DOI: 10.1109/wcica.2004.1340484

Google Scholar