Compensation of fiber optic gyroscope vibration error based on VMD and FPA-WT

Abstract

With the advantages of all-solid-state, high-precision, and small size, the fiber optic gyroscope (FOG) is widely used in aerospace, unmanned driving, and robotics. However, the optoelectronic devices inside the FOG will produce non-negligible errors under the action of stress, resulting in zero-bias drift and increased noise, thereby limiting the application of the FOG in vibration and shock environments. In order to solve this problem, our paper proposes a new algorithm based on the variational mode decomposition (VMD) and flower pollination algorithm-wavelet transformation (FPA-WT). We combine the advantages of VMD and WT, use VMD to decompose non-stationary vibration signals to separate the effective signal component and zero-bias drift, and then use WT to denoise each component. Since the denoising effect of WT largely depends on the selection of initial parameters, we use the FPA to find the best parameters for WT. In order to better analyze the influence of vibration on FOG, we carry out the axial vibration and radial vibration experiments at the same time. The experimental results verify the effectiveness of our method, which can reduce the vibration error and improve the performance of the FOG in vibration and shock environments.