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Acta Armamentarii ›› 2019, Vol. 40 ›› Issue (9): 1860-1870.doi: 10.3969/j.issn.1000-1093.2019.09.011

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An Improved Optimal Alignment Method of Strapdown Inertial Navigation System Based on Reverse Navigation Algorithm

ZHU Bing1,2, XU Jiangning2, WU Miao2, LI Jingshu3, HE Hongyang2, LI Feng4   

  1. (1.Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China; 2.College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, Hubei, China;3.Department of Operational Research and Programming, Naval University of Engineering, Wuhan 430033, Hubei,China;4.Naval Postgraduate School, Beijing 100841, China)
  • Received:2018-09-29 Revised:2018-09-29 Online:2019-10-31

Abstract: Rapidity and precision are the important indicators for in-motion initial alignment of strapdown inertial navigation system (SINS). The optimized alignment method (OAM) can not be used to get enough observation information in a short time, which may degrade the alignment performance. An improved in-motion coarse alignment (IMCA) method based on the reverse navigation algorithm is proposed. In the IMCA method, the stored gyroscope and accelerometer data are reused and the integration procedure is extended using the reverse navigation algorithm. The extended integration procedure is used to construct new observation vector to achieve the improvement of alignment accuracy. The OAM in the body frame (b-frame) is derived, and then the influence of quantity of observation information on the precision of attitude determination is analyzed. The in-motion alignment experiments were carried out by using OAM and IMCA method based on the measured data of vehicle test, respectively. The experimental results demonstrate that the IMCA method can achieve higher alignment accuracy at the same conditions compered with OAM. The IMCA method can be effectively applied to the b-frame in-motion alignment. Key

Key words: strapdowninertialnavigationsystem, optimizedalignment, reversenavigation, observationvector, movingbase

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