Compensation Method of Temperature Error for Laser Gyro

To reduce and compensate the influence of temperature on ring laser gyro(RLG) bias error and attain the precision of inertial level gyro, the mechanism of RLG zero-bias error due to temperature is analyzed. Based on a great number of environmental temperature experiments of RLG, a general temperature compensating model and a new kind of BP neural network model are established. A method for identifying the model parameter is proposed. Simulation results show that the simplified compensating model can reduce the zero-bias by more than a magnitude and achieve real-time compensating feature.