Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Owe Period Fast North-Seeking Method Based On Interpolation Of Polynomial

Authors
Li Zhang, Lilong Tan, Qiyuan Zhong
Corresponding Author
Li Zhang
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.133How to use a DOI?
Keywords
polynomial interpolation; owe period; sinusoid ;gyroscope
Abstract

In order to make rationally use of the original data and improve the data fitting precision of the sine waveform, the owe period fast North-Seeking method of the polynomial interpolation is based on the least square method. According to the character of the large deflection north point data, the polynomial interpolation subdivision is carried out based the eighth data fitting a quarter data. To owe period fitting of the quarter data of sinusoidal parameter. Use a certain type gyro theodolite as prototype.Through software simulation algorithm ,the experimental results show that the algorithm reasonable use of the data,shortened the time for the north,improves the fitting accuracy.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.133How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Zhang
AU  - Lilong Tan
AU  - Qiyuan Zhong
PY  - 2017/04
DA  - 2017/04
TI  - Owe Period Fast North-Seeking Method Based On Interpolation Of Polynomial
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 667
EP  - 674
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.133
DO  - 10.2991/fmsmt-17.2017.133
ID  - Zhang2017/04
ER  -