An Accelerometers-Size-Effect Self-Calibration Method for Triaxis Rotational Inertial Navigation System

• Published in: IEEE transactions on industrial electronics (1982) Vol. 65; no. 2; pp. 1655 - 1664
• Main Authors: Gao, Pengyu, Li, Kui, Song, Tianxiao, Liu, Zengjun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceleration; Accelerometers; Accelerometers-size-effect errors; Accuracy; Angular velocity; Calibration; Gimbals; Inertial navigation; Inertial platforms; Navigation systems; Observability; observability analysis; Parameters; Rotation; rotational inertial navigation system (RINS); Self calibration; Singular value decomposition; Size effects; Strapdown inertial navigation; Velocity errors
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2017.2733491

Rotational inertial navigation system (RINS) could improve navigation performance by rotating the inertial measurement unit (IMU) with gimbals, and error parameters could be self-calibrated as well. However, accelerometers size effect would cause more influence on navigation accuracy in RINS than a strapdown inertial navigation system because of gimbals rotation, which should be calibrated and compensated for high-end application. In this paper, size effect and other IMU errors are calibrated through optimal estimation with navigation errors in triaxis RINS. The rotation scheme is designed by the characteristics of size effect and other errors, and all errors are verified to be observable by piece-wise constant system method and singular value decomposition method. The self-calibration method is tested by simulations and experiments. The calibration repeatability of size-effect parameters is less than 0.15 cm, while other IMU errors reach higher calibration accuracy compared with traditional methods. Navigation experiments indicate that the sharply changing velocity errors are greatly corrected after compensation, and position and velocity accuracy have improved 30% and 70%, respectively, during 12-h navigation experiment. Therefore, the navigation performance of RINS could be further improved in both the short term and long term with the proposed self-calibration method.