TY - JOUR
T1 - Relaying Fast In-Flight Alignment Method Based on Adaptive Multiconstraints
AU - Wang, Jinwen
AU - Deng, Zhihong
AU - Bo, Yuming
N1 - Publisher Copyright:
© 2001-2012 IEEE.
PY - 2024/1/15
Y1 - 2024/1/15
N2 - In-flight alignment is the basis of projectile strapdown inertial navigation system (SINS) accurate navigation. In-flight alignment of guided projectile SINS is faced with 'high' complexity, such as satellite interference and random wind disturbance, and 'high' dynamics, such as high velocity (\ge 500 m/s), high spin (\ge 20 r/s), and high overload (\ge 10 000 g). Thus, this article proposes a relaying fast in-flight alignment method based on adaptive multiconstraints, which is mainly divided into the optimization stage and filtering stage. First, the initial attitude angles are taken as the optimization object to establish the optimization model, and the {K} matrix is taken as the state variable to establish the filtering model. Then, the internal relaying mode in the optimization stage and the external relaying mode from the optimization stage to the filtering stage are designed. The rapidity of the optimization algorithm is exerted via adaptive multiconstraint mode to speed up the alignment process. Taking the filtering stage as the main step, the high precision of the filtering algorithm is brought into play to improve alignment accuracy. Simulation and experimental results show that the alignment accuracy and alignment time of this method are better than those of traditional methods.
AB - In-flight alignment is the basis of projectile strapdown inertial navigation system (SINS) accurate navigation. In-flight alignment of guided projectile SINS is faced with 'high' complexity, such as satellite interference and random wind disturbance, and 'high' dynamics, such as high velocity (\ge 500 m/s), high spin (\ge 20 r/s), and high overload (\ge 10 000 g). Thus, this article proposes a relaying fast in-flight alignment method based on adaptive multiconstraints, which is mainly divided into the optimization stage and filtering stage. First, the initial attitude angles are taken as the optimization object to establish the optimization model, and the {K} matrix is taken as the state variable to establish the filtering model. Then, the internal relaying mode in the optimization stage and the external relaying mode from the optimization stage to the filtering stage are designed. The rapidity of the optimization algorithm is exerted via adaptive multiconstraint mode to speed up the alignment process. Taking the filtering stage as the main step, the high precision of the filtering algorithm is brought into play to improve alignment accuracy. Simulation and experimental results show that the alignment accuracy and alignment time of this method are better than those of traditional methods.
KW - Adaptive multiconstraint
KW - high dynamic
KW - in-flight alignment
KW - optimization algorithm
KW - relaying
KW - strapdown inertial navigation system (SINS)
UR - http://www.scopus.com/inward/record.url?scp=85179833077&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2023.3336350
DO - 10.1109/JSEN.2023.3336350
M3 - Article
AN - SCOPUS:85179833077
SN - 1530-437X
VL - 24
SP - 1264
EP - 1274
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 2
ER -