Research on the calibration of FOG based on AFSA

In order to solve the problems that the fiber optic gyroscope (FOG) error coefficients such as scale factor, installation error and bias are not stable in the calibration of strap-down inertial navigation system (SINS) caused by the angular position error of turntable and the turntable axis mutual misalignment error. Furthermore, an expensive and high precision turntable is commonly required to calibrate the parameters of inertial measurement unit (IMU). For the purpose of calibration, this paper proposes a FOG calibration method to solve these difficulties by using the artificial fish swarm algorithms (AFSA) based on different parameter type. The feasibility of the method is verified by simulation, and the experiment is operated by the FOG SINS, which is self-developed by our laboratory. The result shows that the AFSA is valid, feasible, both saving time, workload and costs for the error parameters calibration of FOG in SINS.