Error compensation for FOG SINS under vibration based on Elman Neural Network

Author

Sun, Feng ; Sun, Qiaoying ; Wu, Lei ; Sun, Wei

Author_Institution

Autom. Coll., Harbin Eng. Univ., Harbin, China

fYear

2009

fDate

9-12 Aug. 2009

Firstpage

302

Lastpage

307

Abstract

To take full advantage of inertial components of fiber-optic gyroscope strapdown inertial navigation system (FOG SINS), the influence of installation error of FOG and accelerometer on the output of FOG SINS should be considered. The characteristic of vibrant signal is picked up by analyzing the signals of accelerometer with power spectral density, then an effective vibrant error compensation scheme is carried out. Method for Elman Neural Network which is fast to calculate is used to construct the model of vibrant error compensation. In the period of initial alignment, the drift error caused by vibration is compensated with the model of vibrant error compensation, and the precision of initial alignment is improved. This paper will be helpful to the future work for vibrant error compensation.

Keywords

accelerometers; error compensation; fibre optic gyroscopes; inertial navigation; neurocontrollers; Elman neural network; FOG SINS; accelerometer; drift error; fiber optic gyroscope; installation error; power spectral density; strapdown inertial navigation system; vibrant error compensation scheme; Accelerometers; Automation; Error compensation; Gyroscopes; Navigation; Neural networks; Semiconductor device modeling; Silicon compounds; Sun; Vibrations; Elman Neural Network; FOG; error compensation; vibration;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2009. ICMA 2009. International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-2692-8

Electronic_ISBN

978-1-4244-2693-5

Type

conf

DOI

10.1109/ICMA.2009.5246025

Filename

5246025