运用神经网络代数算法的陀螺仪非线性误差补偿

Journal of Applied Sciences ›› 2008, Vol. 26 ›› Issue (4): 436-0436 .

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Nonlinear Error Compensation of Gyroscope Using Algebra Algorithm of Neural Networks

MA Bin-liang, HUANG Yu-mei, LIU Shu-yang, CHEN Liang

School of Mechanical and Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China

Received:2007-10-29 Revised:2008-01-09 Online:2008-07-31 Published:2008-07-31

Abstract

Abstract: To improve measurement precision of gyroscope, a novel nonlinear error compensation model is proposed using an algebra algorithm of neural networks. The model has advantages of real-time processing and precision mapping in the sample space because the algorithm transforms the complicated nonlinear optimization problem into linear algebraic equations. Compared to polynomial fitting, the proposed model has better precision. Experiments show that the model can reduce error to 0.1o/s and meet practical control needs.

Key words: gyroscope, neural networks, algebra algorithm, nonlinear error compensation

MA Bin-liang;HUANG Yu-mei;LIU Shu-yang;CHEN Liang. Nonlinear Error Compensation of Gyroscope Using Algebra Algorithm of Neural Networks
[J]. Journal of Applied Sciences, 2008, 26(4): 436-0436 .

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https://www.jas.shu.edu.cn/EN/Y2008/V26/I4/436

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Nonlinear Error Compensation of Gyroscope Using Algebra Algorithm of Neural Networks

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