Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-09T13:35:33.913Z Has data issue: false hasContentIssue false
  • English
  • Français

The Effectiveness of Acceleration Matching According to the Sensor Performance in Shipboard Rapid Transfer Alignment

Published online by Cambridge University Press:  09 July 2019

Hojin Ju ,
Seong Yun Cho  and
Chan Gook Park
Hojin Ju
Affiliation:
(Mechanical and Aerospace Engineering / Automation and System Research Institute, Seoul National University)
Seong Yun Cho
Affiliation:
(Department of Robotics Engineering / Kyungil University)
Chan Gook Park*
Affiliation:
(Mechanical and Aerospace Engineering / Automation and System Research Institute, Seoul National University)
*
(E-mail: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

In this study, the effect of acceleration matching according to sensor specifications in rapid transfer alignment is analysed. In general, the velocity and attitude information of the Master Inertial Navigation System (MINS) is used for transfer alignment. MINS angular velocity information is used to improve the alignment speed in shipboard transfer alignment. Acceleration matching, on the other hand, is generally considered an impractical option for transfer alignment. However, in the case of shipboard transfer alignment, acceleration matching is thought to be effective. In order to analyse the performance of acceleration matching, a performance index is defined and the efficiency of acceleration matching is analysed according to various sensor specifications and simulation environments. Based on the analysis of the estimated performance according to the simulation results, it is confirmed that acceleration matching in rapid transfer alignment is valid.

Keywords

Shipboard-Transfer AlignmentAcceleration MatchingKalman Filter (KF)Lever-arm EffectFlexure Motion
Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 1 , January 2020 , pp. 1 - 15
Copyright
Copyright © The Royal Institute of Navigation 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Cao, Q., Zhong, M. and Guo, J. (2016). Non-linear estimation of the flexural lever arm for transfer alignment of airborne distributed position and orientation system. IET Radar, Sonar & Navigation, 11(1), 41–51.Google Scholar
Cheng, J., Wang, T., Guan, D. and Li, M. (2016). Polar transfer alignment of shipborne SINS with a large misalignment angle. Measurement Science and Technology, 27(3), 035101.Google Scholar
Groves, P. D. (2003). Optimising the transfer alignment of weapon INS. The Journal of Navigation, 56(2), 323–335.Google Scholar
Joon, L. and You-Chol, L. (2009). Transfer alignment considering measurement time delay and ship body flexure. Journal of Mechanical Science and Technology, 23(1), 195–203.Google Scholar
Kain, J. E. and Cloutier, J. R. (1989). Rapid Transfer Alignment for Tactical Weapon Applications. AIAA Guidance, Navigation and Control Conference, Boston, MA.Google Scholar
Liu, X., Xu, X., Liu, Y. and Wang, L. (2014). A fast and high-accuracy transfer alignment method between M/S INS for ship based on iterative calculation. Measurement, 51, 297–309.Google Scholar
Lu, Y. and Cheng, X. (2014). Random misalignment and lever arm vector online estimation in shipborne aircraft transfer alignment. Measurement, 47, 756–764.Google Scholar
Pehlivanolu, A. G. and Ercan, Y. (2013). Investigation of flexure effect on transfer alignment performance. The Journal of Navigation, 66(1), 1–15.Google Scholar
Rogers, R. M. (1991). Velocity-Plus-Rate Matching for Improved Tactical Weapon Rapid Transfer Alignment. AIAA Guidance, Navigation and Control Conference, New Orleans, LA.Google Scholar
Schneider, A. M. (1983). Kalman Filter Formulations for Transfer Alignment of Strapdown Inertial Units. The Journal of Navigation, 30(1), 72–89.Google Scholar
Spalding, K. (1992). An Efficient Rapid Transfer Alignment Filter. AIAA Guidance, Navigation and Control Conference, Hilton Head Island, SC.Google Scholar
Titterton, D. and Weston, J. L. (2004). Strapdown inertial navigation technology, The Institution of Engineering and Technology.Google Scholar
Wu, W., Chen, S. and Qin, S. (2013). Online estimation of ship dynamic flexure model parameters for transfer alignment. IEEE Transactions on Control Systems Technology, 21(5), 1666–1678.Google Scholar
Yang, D., Wang, S., Li, H., Liu, Z. and Zhang, J. (2013). Performance enhancement of large-ship transfer alignment: a moving horizon approach. The Journal of Navigation, 66(1), 17–33.Google Scholar