SINS fine alignment method based on forward/inverse navigation scheme for intelligent track inspection trolleys

Wei Chen; Gongliu Yang; Xiong Rao; Yuanchang Wang

doi:10.1117/12.3026114

8 April 2024 SINS fine alignment method based on forward/inverse navigation scheme for intelligent track inspection trolleys

Wei Chen, Gongliu Yang, Xiong Rao, Yuanchang Wang

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130901K (2024) https://doi.org/10.1117/12.3026114
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

In order to emphasize the safe operation of the railroad, it is necessary to carry out periodic inspection of the track and trackside equipment. As the Chidabai Railway intelligent inspection trolley now adopts a long static base alignment time of 5 minutes required during operation, we propose a forward/inverse navigation scheme alignment algorithm, giving detailed steps for the discrete inverse SINS algorithm and discrete Kalman filtering algorithm. Through using 150 seconds for forward and reverse, the alignment time is halved and the heading alignment accuracy is less than 0.3 mils compared with the traditional 300 seconds Kalman fine alignment program, this method can greatly improve the operational efficiency while ensuring the accuracy of data processing.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wei Chen, Gongliu Yang, Xiong Rao, and Yuanchang Wang "SINS fine alignment method based on forward/inverse navigation scheme for intelligent track inspection trolleys", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130901K (8 April 2024); https://doi.org/10.1117/12.3026114

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