Fast Alignment of SINS for Marching Vehicles Based on Multi-Vectors of Velocity Aided by GPS and Odometer

In the strap-down inertial navigation system (SINS), the initial attitude matrix is acquired through alignment. Though there were multiple valid methods, alignment time and accuracy are still core issues, especially regarding the condition of the motion carrier. Inspired by the idea of constructing...

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Main Authors: Chunxi Zhang, Longjun Ran, Lailiang Song
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/1/137
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author Chunxi Zhang
Longjun Ran
Lailiang Song
author_facet Chunxi Zhang
Longjun Ran
Lailiang Song
author_sort Chunxi Zhang
collection DOAJ
description In the strap-down inertial navigation system (SINS), the initial attitude matrix is acquired through alignment. Though there were multiple valid methods, alignment time and accuracy are still core issues, especially regarding the condition of the motion carrier. Inspired by the idea of constructing nonlinear vectors by velocity in a different coordinate frame, this paper proposes an innovative alignment method for a vehicle-mounted SINS in motion. In this method, the core issue of acquiring the attitude matrix is to calculate the matrix between the inertial frame and the initial body frame, which can be constructed through the nonlinear velocity vectors’ information from the GPS and the odometer at different moments, which denominate the multi-vector attitude determination. The possibility of collinearity can easily be avoided by a turning movement. The characteristic of propagation of error is analyzed in detail, based on which an improved method is put forward to depress the effect of random noise. Compared with the existing alignment methods, this method does not use the measurement information of accelerometers. In order to demonstrate its performance, the method is compared with the two-position alignment method and the traditional two-stage alignment method. Simulation and vehicle-based experiment results show that the proposed alignment method can establish an attitude reference in 100 s with an azimuth error of less than 0.06°, and that the accuracy does not have a strong correlation with the accelerometer.
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spelling doaj.art-b2199e62ccf14c5da1907205d7b2fe352022-12-22T02:53:10ZengMDPI AGSensors1424-82202018-01-0118113710.3390/s18010137s18010137Fast Alignment of SINS for Marching Vehicles Based on Multi-Vectors of Velocity Aided by GPS and OdometerChunxi Zhang0Longjun Ran1Lailiang Song2School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, ChinaIn the strap-down inertial navigation system (SINS), the initial attitude matrix is acquired through alignment. Though there were multiple valid methods, alignment time and accuracy are still core issues, especially regarding the condition of the motion carrier. Inspired by the idea of constructing nonlinear vectors by velocity in a different coordinate frame, this paper proposes an innovative alignment method for a vehicle-mounted SINS in motion. In this method, the core issue of acquiring the attitude matrix is to calculate the matrix between the inertial frame and the initial body frame, which can be constructed through the nonlinear velocity vectors’ information from the GPS and the odometer at different moments, which denominate the multi-vector attitude determination. The possibility of collinearity can easily be avoided by a turning movement. The characteristic of propagation of error is analyzed in detail, based on which an improved method is put forward to depress the effect of random noise. Compared with the existing alignment methods, this method does not use the measurement information of accelerometers. In order to demonstrate its performance, the method is compared with the two-position alignment method and the traditional two-stage alignment method. Simulation and vehicle-based experiment results show that the proposed alignment method can establish an attitude reference in 100 s with an azimuth error of less than 0.06°, and that the accuracy does not have a strong correlation with the accelerometer.http://www.mdpi.com/1424-8220/18/1/137vehicle-mounted SINSfast alignment for marching basemulti-vector attitude determinationerror propagation characteristicGPS and Odometer
spellingShingle Chunxi Zhang
Longjun Ran
Lailiang Song
Fast Alignment of SINS for Marching Vehicles Based on Multi-Vectors of Velocity Aided by GPS and Odometer
Sensors
vehicle-mounted SINS
fast alignment for marching base
multi-vector attitude determination
error propagation characteristic
GPS and Odometer
title Fast Alignment of SINS for Marching Vehicles Based on Multi-Vectors of Velocity Aided by GPS and Odometer
title_full Fast Alignment of SINS for Marching Vehicles Based on Multi-Vectors of Velocity Aided by GPS and Odometer
title_fullStr Fast Alignment of SINS for Marching Vehicles Based on Multi-Vectors of Velocity Aided by GPS and Odometer
title_full_unstemmed Fast Alignment of SINS for Marching Vehicles Based on Multi-Vectors of Velocity Aided by GPS and Odometer
title_short Fast Alignment of SINS for Marching Vehicles Based on Multi-Vectors of Velocity Aided by GPS and Odometer
title_sort fast alignment of sins for marching vehicles based on multi vectors of velocity aided by gps and odometer
topic vehicle-mounted SINS
fast alignment for marching base
multi-vector attitude determination
error propagation characteristic
GPS and Odometer
url http://www.mdpi.com/1424-8220/18/1/137
work_keys_str_mv AT chunxizhang fastalignmentofsinsformarchingvehiclesbasedonmultivectorsofvelocityaidedbygpsandodometer
AT longjunran fastalignmentofsinsformarchingvehiclesbasedonmultivectorsofvelocityaidedbygpsandodometer
AT lailiangsong fastalignmentofsinsformarchingvehiclesbasedonmultivectorsofvelocityaidedbygpsandodometer