Nonlinear Compensation Method for Transducer Based on Neural Network with Fourier Functions

Nan Lan Wang; Ming Shan Cai

doi:10.4028/www.scientific.net/AMM.220-223.1843

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Nonlinear Compensation Method for Transducer Based...

Nonlinear Compensation Method for Transducer Based on Neural Network with Fourier Functions

Abstract:

Aiming to solve the problems in the non-linearity of thermistor temperature transducer, a compensate model based on neural network (NN) is proposed. The basic idea is using Fourier series as the basic functions of NN，the output of transducer as input samples of NN and the temperature as the expectation output of NN. The output of NN is used to approximate to the measured temperature by adjusting the weights. The results show the proposed method is effective in raising accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

1843-1847

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.1843

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Online since:

November 2012

Authors:

Nan Lan Wang, Ming Shan Cai

Keywords:

Fourier Functions, Neural Network (NN), Non-Liner Compensation

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