Strapdown Sculling Velocity Algorithms Using Novel Input Combinations

Joint Authors

Xie, Fei
Huang, Lei
Li, Zhaochun
Feng, Kai

Source

Mathematical Problems in Engineering

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-10-28

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

Sculling motion is a standard input to evaluate the performance of the velocity algorithm in a highly dynamic environment.

Conventional sculling algorithms usually adopt incremental angle/specific force increments or angular rate/specific force as algorithm inputs.

However modern inertial sensors have different output types now, which do not correspond to the inputs of those traditional algorithms.

For example, some inertial sensors have the integrated angular rate (incremental angle)/specific force outputs or angular rate/specific force increments outputs.

Hence the conventional sculling algorithms cannot be easily applied to these situations.

A novel sculling algorithm using incremental angle/specific force inputs or angular rate/specific force increments inputs is developed in this paper.

The advantage of the novel algorithm is that it can calculate the carrier velocity directly without converting the dimension of inertial sensor outputs values.

Theoretical analysis, digital simulations, and a trial study are carried out to verify our algorithm.

The results demonstrate that for corresponding types of strapdown inertial navigation systems (SINS) the novel sculling algorithm exhibits better performance than the conventional sculling velocity algorithms.

American Psychological Association (APA)

Huang, Lei& Li, Zhaochun& Xie, Fei& Feng, Kai. 2018. Strapdown Sculling Velocity Algorithms Using Novel Input Combinations. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1209836

Modern Language Association (MLA)

Huang, Lei…[et al.]. Strapdown Sculling Velocity Algorithms Using Novel Input Combinations. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1209836

American Medical Association (AMA)

Huang, Lei& Li, Zhaochun& Xie, Fei& Feng, Kai. Strapdown Sculling Velocity Algorithms Using Novel Input Combinations. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1209836

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1209836