A MEMS gyroscope high-order calibration method for highly dynamic environments. (17th December 2020)

• Record Type: Journal Article
• Authors: Wang, Jinwen; Deng, Zhihong; Liang, Xinyu; Liu, Ning
• Is Part Of: Measurement science & technology. Volume 32:Number 3(2021)
• Publication Date: 2020-12-17
• Subjects: high dynamic environment -- high-order calibration model of gyroscope -- IGRLS algorithm -- adaptive forgetting factor; Physical measurements -- Periodicals; Scientific apparatus and instruments -- Periodicals; Equipment and Supplies -- Periodicals; Science -- instrumentation -- Periodicals; Technology -- instrumentation -- Periodicals; Mesures physiques -- Périodiques; Physical measurements; Scientific apparatus and instruments; Periodicals; 502.87
• DOI: 10.1088/1361-6501/abca55
• Languages: English
• ISSNs: 0957-0233

Abstract

Abstract: In a highly dynamic environment, a Micro Electro Mechanical Systems (MEMS) gyroscope becomes inaccurate after being calibrated using the traditional calibration methods. In this paper, a high-order calibration method for MEMS gyroscopes is proposed. The effects of a highly dynamic environment on gyroscope outputs are analyzed, and a high-order calibration model of the gyroscope is established according to a nonlinear relationship between the measured value and the real value of the gyroscope. An improved generalized recursive least squares (IGRLSs) algorithm is developed to solve the high-order calibration model, and an adaptive forgetting factor is introduced to correct the algorithm update capability. Compared with traditional gyroscope calibration methods, the proposed method solves the problem of data saturation and colored noise, and provides an unbiased and consistent parameter estimation. The results of calibration experiments show that the gyroscope calibration precision of the x -axis (roll axis) and the z -axis (yaw axis) are effectively increased by more than 58.30% and 19.14%, respectively.