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

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.

Omnidirectional angle constraint based dynamic six-degree-of-freedom measurement for spacecraft rendezvous and docking simulation

“…However, on account of the integral operation, the measurement errors of INS accumulate over time, and it is prone to drift. Some compensation methods have been pro posed to reduce the measurement error, but they are not ideal in practice because of the compensation uniqueness [2][3][4][5]. As a result, INS is rarely used alone.…”