Research Article
An Adaptive Optimization Strict Reverse Navigation Algorithm for Ship Fine Alignment Process
@INPROCEEDINGS{10.1007/978-3-030-82562-1_12, author={Junwei Wang and Xiyuan Chen and Xin Shao and Zhen Ma}, title={An Adaptive Optimization Strict Reverse Navigation Algorithm for Ship Fine Alignment Process}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2021}, month={7}, keywords={Initial alignment Misalignment angle error Reverse navigation algorithm Adaptive intelligently control}, doi={10.1007/978-3-030-82562-1_12} }- Junwei Wang
Xiyuan Chen
Xin Shao
Zhen Ma
Year: 2021
An Adaptive Optimization Strict Reverse Navigation Algorithm for Ship Fine Alignment Process
ICMTEL
Springer
DOI: 10.1007/978-3-030-82562-1_12
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.
