Vibration Error Suppression of SINS Based on ATFPF and Improved Second-order Coning Compensation Algorithm
Download as PDF
Gan Xudong, Li Fan, Zhao Jianhui
The error caused by environmental vibration restricts the measurement accuracy of strapdown inertial navigation system (SINS). In order to reduce the influence of vibration on SINS, a method based on adaptive time-frequency peak filtering (ATFPF) and improved second-order coning compensation algorithm is proposed. In this paper, firstly, the implementation of ATFPF is studied and compared with wavelet filtering algorithm. The results show that the ATFPF algorithm can achieve better filtering effect for gyro output signal. Secondly, the traditional coning compensation algorithm is improved, and the expression of two-order three-sample coning compensation algorithm is derived. Finally, the result of simulation shows that this method is superior to the traditional three-sample coning algorithm in suppressing the vibration error. The error mean of attitude can be decreased by about one order of magnitude.
SINS, ATFPF, improved coning algorithm, vibration error