Name
Title | ||
|---|---|---|
An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation System |
Abstract | ||
|---|---|---|
Rotation modulation is an effective method to enhance the accuracy of an inertial navigation system (INS) by modulating the gyroscope drifts and accelerometer bias errors into periodically varying components. The typical RINS drives the inertial measurement unit (IMU) rotation along the vertical axis and the horizontal sensors' errors are modulated, however, the azimuth angle error is closely related to vertical gyro drift, and the vertical gyro drift also should be modulated effectively. In this paper, a new rotation strategy in a dual-axis rotational INS (RINS) is proposed and the drifts of three gyros could be modulated, respectively. Experimental results from a real dual-axis RINS demonstrate that the maximum azimuth angle error is decreased from 0.04 degrees to less than 0.01 degrees during 1 h. Most importantly, the changing of rotation strategy leads to some additional errors in the velocity which is unacceptable in a high-precision INS. Then the paper studies the basic reason underlying horizontal velocity errors in detail and a relevant new calibration method is designed. Experimental results show that after calibration and compensation, the fluctuation and stages in the velocity curve disappear and velocity precision is improved. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3390/s150818443 | SENSORS |
Keywords | Field | DocType |
rotational inertial navigation system (RINS),rotation modulation,rotation strategy,azimuth angle error,velocity errors | Inertial navigation system,Gyroscope,Accelerometer,Azimuth,Galaxy rotation curve,Optics,Modulation,Electronic engineering,Inertial measurement unit,Acoustics,Engineering,Calibration | Journal |
Volume | Issue | ISSN |
15 | 8.0 | 1424-8220 |
Citations | PageRank | References |
6 | 1.03 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| qian zhang | 1 | 6 | 1.03 |
| lei wang | 2 | 6 | 1.37 |
| zengjun liu | 3 | 6 | 1.03 |
| peide feng | 4 | 6 | 1.03 |