An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation System

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 axi...

Full description

Bibliographic Details
Main Authors: Qian Zhang, Lei Wang, Zengjun Liu, Peide Feng
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/8/18443
id doaj-f6b1dbec44c346999659f022eddbd4a4
record_format Article
spelling doaj-f6b1dbec44c346999659f022eddbd4a42020-11-24T21:39:31ZengMDPI AGSensors1424-82202015-07-01158184431845810.3390/s150818443s150818443An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation SystemQian Zhang0Lei Wang1Zengjun Liu2Peide Feng3School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaRotation 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° to less than 0.01° 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.http://www.mdpi.com/1424-8220/15/8/18443rotational inertial navigation system (RINS)rotation modulationrotation strategyazimuth angle errorvelocity errors
collection DOAJ
language English
format Article
sources DOAJ
author Qian Zhang
Lei Wang
Zengjun Liu
Peide Feng
spellingShingle Qian Zhang
Lei Wang
Zengjun Liu
Peide Feng
An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation System
Sensors
rotational inertial navigation system (RINS)
rotation modulation
rotation strategy
azimuth angle error
velocity errors
author_facet Qian Zhang
Lei Wang
Zengjun Liu
Peide Feng
author_sort Qian Zhang
title An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation System
title_short An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation System
title_full An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation System
title_fullStr An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation System
title_full_unstemmed An Accurate Calibration Method Based on Velocity in a Rotational Inertial Navigation System
title_sort accurate calibration method based on velocity in a rotational inertial navigation system
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-07-01
description 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° to less than 0.01° 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.
topic rotational inertial navigation system (RINS)
rotation modulation
rotation strategy
azimuth angle error
velocity errors
url http://www.mdpi.com/1424-8220/15/8/18443
work_keys_str_mv AT qianzhang anaccuratecalibrationmethodbasedonvelocityinarotationalinertialnavigationsystem
AT leiwang anaccuratecalibrationmethodbasedonvelocityinarotationalinertialnavigationsystem
AT zengjunliu anaccuratecalibrationmethodbasedonvelocityinarotationalinertialnavigationsystem
AT peidefeng anaccuratecalibrationmethodbasedonvelocityinarotationalinertialnavigationsystem
AT qianzhang accuratecalibrationmethodbasedonvelocityinarotationalinertialnavigationsystem
AT leiwang accuratecalibrationmethodbasedonvelocityinarotationalinertialnavigationsystem
AT zengjunliu accuratecalibrationmethodbasedonvelocityinarotationalinertialnavigationsystem
AT peidefeng accuratecalibrationmethodbasedonvelocityinarotationalinertialnavigationsystem
_version_ 1725930889468182528