Journal of Systems Engineering and Electronics

• CONTROL THEORY AND APPLICATION • Previous Articles     Next Articles

Optimal two-iteration sculling compensation mathematical framework for SINS velocity updating

Tong Zhang*, Kang Chen, Wenxing Fu, Yunfeng Yu, and Jie Yan   

  1. School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China
  • Online:2014-12-29 Published:2010-01-03

Abstract:

A new two-iteration sculling compensation mathematical framework is provided for modern-day strapdown inertial navigation system (SINS) algorithm design that utilizes a new concept in velocity updating. The principal structure of this framework includes twice sculling compensation procedure using incremental outputs from the inertial system sensors during the velocity updating interval. Then, the moderate algorithm is designed to update the velocity parameter. The analysis is conducted in the condition of sculling motion which indicates that the new mathematical framework error which is smaller than the conventional ones by at least two orders is far superior. Therefore, a summary is given for SINS software which can be designed with the new mathematical framework in velocity updating.