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Relaying Fast In-Flight Alignment Method Based on Adaptive Multiconstraints

delete2024-01-15
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PRE
AI
J
Jinwen Wang *
邓志鸿 cover
邓志鸿 (Zhihong Deng)
Y
Yuming Bo
DOI:10.1109/JSEN.2023.3336350delete
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Abstract

Abstract

En 中文
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 (>= 500 m/s), high spin (>= 20 r/s), and high overload (>= 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.
Keywords:
Adaptive multiconstraint
high dynamic
in-flight alignment
optimization algorithm
relaying
strapdown inertial navigation system (SINS)

Journal

IEEE Sensors Journal cover
IEEE Sensors Journal
IF:
4.5
Papers:
2.1W
Citations:
7.3W

Organization

B
beijing institute of technology
Scholars:
5.4W
Papers: 4.0W
Citations: 63