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MEMS gyroscopes are widely used in the underwater vehicles owing to their excellent performance and affordable costs.However,the temperature sensitivity of the sensor seriously affects measurement accuracy.Therefore,it is significantly to accurately identify the temperature compensation model in this paper,the calibration parameters were first extracted by using the fast calibration algorithm based on the Persistent Excitation Signal Criterion,and then,MEMS gyro temperature compensation model was established by utilizing the thin plate spline interpolation method,and the corresponding identification results were compared with the results from the polynomial fitting method.The effectiveness of the proposed algorithm has been validated through the comparative experiment.
MEMS gyroscopes are widely used in the underwater vehicles owing to their excellent performance and affordable costs.However, the temperature sensitivity of the sensor serious affects measurement accuracy.Therefore, it is significantly accurate the temperature compensation model in this paper, the calibration parameters were first extracted by using the fast calibration algorithm based on the Persistent Excitation Signal Criterion, and then, MEMS gyro temperature compensation model was established by utilizing the thin plate spline interpolation method, and the corresponding identification results were compared with the results from the polynomial fitting method. the effectiveness of the proposed algorithm has been validated through the comparative experiment.