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A fast and accurate transfer alignment method without relying on the empirical model of angular deformation

Published online by Cambridge University Press:  01 June 2022

Jie Yang ,
Xinlong Wang ,
Xiaokun Ding ,
Qing Wei  and
Liangliang Shen
Jie Yang
Affiliation:
School of Astronautics, Beihang University, Beijing 100083, China
Xinlong Wang*
Affiliation:
School of Astronautics, Beihang University, Beijing 100083, China
Xiaokun Ding
Affiliation:
The Flight Automatic Control Research Institute of AVIC, Xi'an 710065, China
Qing Wei
Affiliation:
The Flight Automatic Control Research Institute of AVIC, Xi'an 710065, China
Liangliang Shen
Affiliation:
Beijing Institute of Control & Electronic Technology, Beijing 100038, China
*
*Corresponding author. E-mail: [email protected]
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Abstract

This paper, in allusion to the limitations of traditional transfer alignment methods based on the external measurement equipment or the empirical model of angular deformation, proposes a rapid and accurate transfer alignment method without relying on the empirical angular deformation model. Firstly, the relationship between the actual angular deformation and the angular velocities measured by the gyroscopes in the master and slave inertial navigation systems (INSs) is derived to roughly estimate the angular deformation. Secondly, according to the error characteristics of gyroscopes, the error model of angular deformation is established. Thirdly, expanding the angular deformation error instead of the installation error angle, flexure angle and flexure angle rate into the state vector, a low-order transfer alignment filtering model independent of the empirical angular deformation model is established. The proposed method not only gets rid of the dependence on an empirical angular deformation model, but also realises the rapid and accurate initial alignment of the slave INS without adding any external measurement equipment. The simulations and experiments evidence the validity of the proposed transfer alignment method.

Keywords

inertial navigation systemtransfer alignmentdynamic angular deformationgyroscope outputstate estimation
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 4 , July 2022 , pp. 878 - 900
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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References

Chen, H., Cheng, X., Dai, C. and Liu, F. (2015). Robust stability analysis of H infinity-SGUF and its application to transfer alignment. Signal Process, 117, 310–321.Google Scholar
Chen, X., Ma, Z. and Yang, P. (2021). Integrated modeling of motion decoupling and flexure deformation of carrier in transfer alignment. Mechanical Systems and Signal Processing, 159, 107690. doi:10.1016/j.ymssp.2021.107690CrossRefGoogle Scholar
Gao, S., Wei, W., Zhong, Y. and Feng, Z. (2014). Rapid alignment method based on local observability analysis for strapdown inertial navigation system. Acta Astronautica, 94(2), 790–798.CrossRefGoogle Scholar
Gong, X. and Chen, L. (2019). A conditional cubature Kalman filter and its application to transfer alignment of distributed position and orientation system. Aerospace Science and Technology, 95, 105405. doi:10.1016/j.ast.2019.105405CrossRefGoogle Scholar
Gong, X., Fan, W. and Fang, J. (2014). An innovational transfer alignment method based on parameter identification UKF for airborne distributed POS. Measurement, 58, 103–114.CrossRefGoogle Scholar
Groves, P. D. (2003). Optimising the transfer alignment of weapon INS. The Journal of Navigation, 56, 323–335.CrossRefGoogle Scholar
Kain, J. and Cloutier, J. (1989), Rapid Transfer Alignment for Tactical Weapon Applications, in: Proceedings of the AIAA Guidance, Navigation and Control Conference, Boston, MA, USA, 1290-1300.CrossRefGoogle Scholar
Li, J., Wang, Y., Lu, Z. and Li, Y. (2019). Instantaneous observable degree modeling based on movement measurement for airborne POS. Aerospace Science and Technology, 84, 916–925.CrossRefGoogle 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.CrossRefGoogle Scholar
Liu, H., Sun, C., Zhang, Y., Liu, X., Liu, J., Zhang, X. and Yu, Q. (2015). Hull deformation measurement for spacecraft TT&c ship by photogrammetry. Science China Technological Sciences, 58(8), 1339–1347.CrossRefGoogle Scholar
Lu, Z., Fang, J., Liu, H., Gong, X. and Wang, S. (2017). Dual-filter transfer alignment for airborne distributed POS based on PVAM. Aerospace Science and Technology, 71, 136–146.CrossRefGoogle Scholar
Pak, C. G. (2016). Wing shape sensing from measured strain. AIAA Journal, 54(3), 1068–1077.CrossRefGoogle Scholar
Pehlivanoglu, A. G. and Ercan, Y. (2013). Investigation of flexure effect on transfer alignment performance. The Journal of Navigation, 66, 1–15.CrossRefGoogle Scholar
Qin, Y., You, J. and Song, Y. (2010). Application of transfer alignment to guided multiple launch rocket system (GMLRS). Piezoelectrics & Acoustooptics, 32(4), 565–567.Google Scholar
Si, F., Zhao, Y., Lin, Y. and Zhang, X. (2018). A new transfer alignment of airborne weapons based on relative navigation. Measurement, 122, 27–39.CrossRefGoogle Scholar
Verhaegen, A. and Zbikowski, R. (2017). Aeroservoelastic modelling and control of a slender anti-air missile for active damping of longitudinal bending vibrations. Aerospace Science and Technology, 66, 20–27.CrossRefGoogle Scholar
Wang, J., Zhao, Y. and Xie, C. (2011). An online neural network compensating algorithm for wing distortion influence on transfer alignment. IEEE Conference on Industrial Electronics and Applications, 85–90.Google Scholar
Wang, Y., Yang, J., Wen, C. and Yang, B. (2013). Transfer alignment of land-launched missile under low dynamical maneuver. Journal of Chinese Inertial Technology, 21(3), 324–327.Google Scholar
Wendel, J., Metzger, J. and Trommer, G.F. (2004), Rapid transfer alignment in the presence of time correlated measurement and system noise. AIAA Guidance, Navigation, and Control Conference, Providence, Rhode Island, USA, AIAA-2004-4778.CrossRefGoogle Scholar
Wu, M., Wu, Y., Hu, X. and Hu, D. (2011). Optimization-based alignment for inertial navigation systems: Theory and algorithm. Aerospace Science and Technology, 15, 1–17.CrossRefGoogle 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.CrossRefGoogle Scholar
Yue, Y., Li, S., Zhang, Y., Liu, Z. and Wang, J. (2013). Differential inertial filter design and performance analysis for estimation of misalignment angle between airborne master INS and slave INS. Acta Aeronautica et Astronautica Sinica, 34(10), 2402–2410.Google Scholar