Journal of Robotics, Networking and Artificial Life

Volume 4, Issue 4, March 2018, Pages 322 - 325

A sound-based measurement of sway angle for anti-sway control of overhead crane

Authors
Miki Matsunaga, Masayoshi Nakamoto, Toru Yamamoto
Corresponding Author
Miki Matsunaga
Available Online 31 March 2018.
DOI
10.2991/jrnal.2018.4.4.14How to use a DOI?
Keywords
Overhead crane, microphones, correlation function, Newton’s method
Abstract

For anti-swing control of overhead crane, a deflection angle must be estimated. However, it is difficult to estimate deflection angles with a contact sensor such as rotary encoder. Therefore, we show a non-contact measurement method for the deflection angles by using two microphones. This method is based on the sound source location in a human with two ears. The method employs a time delay of arrival (TDOA) of acoustic signals which are picked up by the two microphones. Also, we show an algorithm to obtain the angle from the TDOA by using the Newton's method. Finally, we show experimental results to demonstrate the effectiveness of the proposed method.

Copyright
© 2018, 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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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
4 - 4
Pages
322 - 325
Publication Date
2018/03/31
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2018.4.4.14How to use a DOI?
Copyright
© 2018, 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  - JOUR
AU  - Miki Matsunaga
AU  - Masayoshi Nakamoto
AU  - Toru Yamamoto
PY  - 2018
DA  - 2018/03/31
TI  - A sound-based measurement of sway angle for anti-sway control of overhead crane
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 322
EP  - 325
VL  - 4
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.4.4.14
DO  - 10.2991/jrnal.2018.4.4.14
ID  - Matsunaga2018
ER  -