Thermal calibration of a tri-axial MEMS gyroscope based on Parameter-Interpolation method

The error of a MEMS gyroscope is highly dependent on the ambient temperature. Traditionally, it is modeled with polynomials, which cannot achieve sufficient accuracy. In order to solve this problem, a Parameter-Interpolation method is proposed to model and calibrate the deterministic error of a MEMS gyroscope. First, the establishment of a MEMS gyroscope's error model and the calibration methods are discussed. Based on the traditional method, we come up with the Parameter-Interpolation (PI) model. Its parameters vary with temperature and each group of parameters is saved separately. The gyroscope is calibrated through interpolation. Then, we design a multi-position experiment test using a thermal turntable to test the traditional and the Parameter-Interpolation (PI) methods. Finally, we process the data collected in the experiments and compare the results of these two methods. Results show that both methods are valid to improve the accuracy of a MEMS gyroscope but the Parameter-Interpolation (PI) method is more effective.