Title: Analysis and experiment of error restraint principle in an inertial navigation system with inertial sensors rotation

Authors: Kui Li; Pengyu Gao; Xueyun Wang; Lei Wang

Addresses: School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China; State Key Laboratory of Geo-information Engineering, Xi'an 710054, China ' School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China ' School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China ' School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China

Abstract: This research developed a new inertial navigation system (INS) with two inertial measurement units (IMU) rotating bi-directionally around the vertical and longitudinal body axis respectively. Theoretical analysis and simulation of the proposed rotation INS (RINS) were presented, which demonstrated that RINS could attenuate positioning errors caused by random constant and time-related components of sensor errors, whereas it did not perform better in modulating white noise component. It also showed that in RINS, utilising inertial sensors with longer relation time and increasing rotation rate are more beneficial. In addition, bi-directional rotation could acquire better result than that unidirectional rotation. Moreover, an experimental RINS prototype with gyroscope drifts of 0.05°/h and accelerometer biases of 50 ug was built. The vehicle tests showed that RINS can achieve positioning accuracy of less than 3 n miles during 8 h (0.3 n mile/h, CEP), more than 10 times improvement than strapdown INS with the same inertial sensors.

Keywords: inertial navigation systems; IMUs; inertial measurement units; gyroscopes; accelerometers; error restraint principle; inertial sensors; sensor rotation; positioning accuracy.

DOI: 10.1504/IJSNET.2016.078188

International Journal of Sensor Networks, 2016 Vol.21 No.2, pp.127 - 136

Received: 16 Mar 2016
Accepted: 01 Apr 2016
Published online: 07 Aug 2016 *

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