A self-calibration method in single-axis rotational inertial navigation system with rotating mechanism

Chen, Yuanpei; Wang, Lingcao; Li, Kui

doi:10.1117/12.2281697

Cited by 1 publication

(2 citation statements)

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“…According to different estimation methods, there are the fitting method and the filtering method. It is possible to reduce the dependence of the calibration process on the high-precision turntable [ 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. Xiang Gang introduced a once-electrification calibration algorithm for part of the parameters, which can calibrate 18 parameters of the inertial navigation calibration [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

“…For the rotary SINS, the system-level calibration method can self-calibrate the system using its own rotation mechanism with the characteristics of rotary inertial navigation. A fast filtering algorithm was proposed by Yuanpei Chen for single-axis rotary inertial navigation, which could calibrate five errors [ 17 ]. Zhichao Zheng proposed an eight-position system calibration method to calibrate part of the error of biaxial rotating inertial navigation [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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An Improved Fast Self-Calibration Method for Hybrid Inertial Navigation System under Stationary Condition

Liu

Wei

et al. 2018

Sensors

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The navigation accuracy of the inertial navigation system (INS) can be greatly improved when the inertial measurement unit (IMU) is effectively calibrated and compensated, such as gyro drifts and accelerometer biases. To reduce the requirement for turntable precision in the classical calibration method, a continuous dynamic self-calibration method based on a three-axis rotating frame for the hybrid inertial navigation system is presented. First, by selecting a suitable IMU frame, the error models of accelerometers and gyros are established. Then, by taking the navigation errors during rolling as the observations, the overall twenty-one error parameters of hybrid inertial navigation system (HINS) are identified based on the calculation of the intermediate parameter. The actual experiment verifies that the method can identify all error parameters of HINS and this method has equivalent accuracy to the classical calibration on a high-precision turntable. In addition, this method is rapid, simple and feasible.

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