Abstract
The navigation accuracy of ship work is largely dependent on the initial alignment accuracy of the inertial navigation system. However, azimuth angle alignment cannot be completed rapidly on the sea surface with strong winds and waves, which reduces the work efficiency of ships. Aiming at this problem, an adaptive optimization reverse navigation algorithm is proposed in this paper. Firstly, a reverse navigation method is established to process the original navigation data in reverse time sequence. After multiple forward and reverse navigation calculations in the same time period, the large misalignment angle error is reduced and the filtering convergence speed is improved. Secondly, the adaptive algorithm is introduced to intelligently control the calculation times of forward and backward navigation in different time periods, which can quickly achieve the alignment accuracy and further improve the response speed of the navigation system. Compared with the conventional alignment algorithm, the two horizontal-angle alignment errors and azimuth-angle alignment error of the ship are reduced by 81.15%, 76.44% and 76.58% respectively with the proposed algorithm in the results of the physical experiment.
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Acknowledgments
This work is supported in part by the National Key Research and Development Project [No. 2017YFC0306303], the National Natural Science Foundation of China [No. 61873064], and also supported the National Defense Advanced Research Foundation [No. 17044141305302].
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Wang, J., Chen, X., Shao, X., Ma, Z. (2021). An Adaptive Optimization Strict Reverse Navigation Algorithm for Ship Fine Alignment Process. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_12
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