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Mechanical Modeling and Simulation for the Take-Off and Landing Performance Calculation of Low-Cost UAVs Read chapter Read first chapter

2022 | OriginalPaper | Chapter

A New GNSS Aided Strapdown INS Dynamic Coarse Alignment Algorithm

Authors : Guo-Da Cheng, Guo-Liang Yang, Jia-He Xia, Yang Shang, Sihai Li

Published in: Proceedings of the 5th China Aeronautical Science and Technology Conference

Publisher: Springer Singapore

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Abstract

According to the requirement of dynamic coarse alignment of moving base, a new inertial navigation coarse alignment algorithm assisted by satellite velocity information is presented. A simplified alignment model of linearized Kalman filter with large azimuth misalignment is obtained by adjusting the inertial solution scheme and de-fining a new form of velocity error model. The offline simulation results of the actual test flight verify the effectiveness of the method. The horizontal attitude error of coarse alignment in 120s is no more than 2°, and the heading error is no more than 5°, which can meet the initial hypothesis requirements of the subsequent fine alignment filter for the small-angle linearization model.

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previous chapter An Inertial Information Based Image Stabilization Method for Airborne Hybrid Strap-Down Inertial/Celestial Integrated Navigation System
next chapter Optimization of Condition-Based Maintenance Strategy for Stochastic and Continuous Deteriorating Systems
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Metadata
Title
A New GNSS Aided Strapdown INS Dynamic Coarse Alignment Algorithm
Authors
Guo-Da Cheng
Guo-Liang Yang
Jia-He Xia
Yang Shang
Sihai Li
Copyright Year
2022
Publisher
Springer Singapore
Book
Proceedings of the 5th China Aeronautical Science and Technology Conference

Print ISBN: 978-981-16-7422-8

Electronic ISBN: 978-981-16-7423-5

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-16-7423-5_97

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