Temperature Drift Compensation Algorithm Based on BP and GA in Quartzes Flexible Accelerometer-Reference-Cited by-同舟云学术

Temperature Drift Compensation Algorithm Based on BP and GA in Quartzes Flexible Accelerometer

Published:2012-12 Issue: Volume:249-250 Page:95-99
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Li Xue Fei¹,Li Deng Hua¹,Gao Jing Min¹,Pang Mei Sa¹

Affiliation:

1. Beijing Information Science and Technology University

Abstract

For the purpose of reducing the drift of the Quartzes Flexible accelerometer outputs in different temperatures, an improved BP algorithm based on GA (Genetic Algorithm) for temperature drift compensation of Quartzes Flexible accelerometer is studied in this paper. Based on the theory analysis and the simulation, the GA model has less training steps and better fitting precision compared with BP Neural Network. The results show that this method on temperature drift compensation of quartz flexible accelerometer has achieved good effect.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.249-250.95.pdf

Reference4 articles.

1. XIE Qi-zhan, PAN Ying-jun, REN Chun-hua: Temperature Drift Compensation of Quartzose Accelerometer Based on Wavelet Network. Measurement and Control Technology. Vol. 28, No. 8 (2009), pp.15-17.

2. Qian Guang-yao, Zhao Guang-xing: Fitting of Output Character of Consistency Sensors Based on Genetic Algorithm and Linear Neural Networks. Transactions of China Electrotechnical Society. Vol. 22, No. 11 (2007), pp.17-20.

3. Fu Hui-xuan, Zhao Hong: MATLAB Neural network application design, (China Machine Press, Beijing 2010).

4. Guo Run-qiu, Zheng Xiao-dong, Wang Cheng: Study of the identification for the static temperature model and the method for compensating temperature of the accelerometer. Journal　Of Xidian University. Vol. 34, No. 3 (2007), pp.438-442.

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