Ring Laser Gyroscope Drift-error Compensation Using Support Vector Machine with Kernel-based Data Fusion

Drift-error compensation is important in the operation of the ring laser gyroscope (RLG). This paper reports on a study in which we used thermometers pasted on the RLG block, photodiodes for path-length control, and a piezoelectric monitor for dither frequency control to measure temperature, light intensity, and dither frequency, respectively, which are all associated with RLG drift variation. Subsequently, a support vector machine algorithm was used to establish a proposed kernel-based data fusion model to process the original data in order to obtain more accurate results. The experimental results obtained show that the proposed model is feasible and effective when the RLG operates under various temperature conditions.