Research on Moving Base Alignment of Ship-borne Strapdown System based on Wavelet and AI Technology
This paper introduced a method of initial alignment of ship-borne SINS based on wavelet and ANFIS. It provided position,velocity and heading angle corrections for INS to prevent the error growing with time so that it improved the accuracy and robustness of the whole system. To achieve the object,method of wavelet multi-resolution analysis was used to denoise the output of the sensors by comparing the wavelet coefficients of same resolution level and reconstructing high accuracy error signal. Positions or velocities and heading angle were set to be the input of ANFIS while the corresponding corrections were output after trained. The desired output of trained samples was position,velocity and heading angle error which is the result of the wave multiresolution analysis. So wavelet multi-resolution analysis and ANFIS complement each other in this paper. The result of simulation test shows that the novel method can speed up convergence and improve accuracy. The error of horizontal alignment is within 1 and that of azimuth alignment is within 3while the trend of accuracy using kalman is divergent. It is shown that this method can provide reliable and effective alignment for ship-borne SINS.
SINS Initial alignment WMRA ANFIS
Tao Zhang Xiaosu Xu
School of Instrument Science and Engineering,Southeast University Nanjing 210096,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
1817-1820
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）