The Temperature Compensation Method for the Laser Gyro Based on the Relevance Vector Machine

Abstract

The laser gyro is an essential part of the inertial measurement unit. Its output precision directly affects the performance of the inertial measurement unit. Temperature is an important factor influencing the bias of the laser gyro. The bias drift of the gyro with temperature makes the output of the inertial measurement unit unstable. Temperature model and compensation model of the gyro and the inertial measurement unit are established in this paper. The bias compensation model based on the relevance vector machine is designed and optimized by the particle swarm optimization algorithm. The temperature compensation experiment is designed, and the bias is calculated using the calibration data after compensation. The experimental results show that the method proposed in this paper can effectively compensate for the bias of the laser gyro.