The Study of Control Strategy for Bolt Tightening Robot on Power Transmission Lines

DOI

10.2991/eia-17.2017.64How to use a DOI?

Keywords

sensor fusion; kalman filter; least square method; interest area; infrared detection; torque coefficient control

Abstract

A new control strategy and its real-time implementation were presented for a power transmission line bolt tightening robot. In order to overcome the influence of the wind, a prediction algorithm of multi-sensor information fusion optimal Kalman filter is adopted to predict the trajectory of the camera. The trajectory of the bolt uses a least squares method based on the interest area. Torque coefficient control method was presented to assure the conformity of the pre-tightening force of different screw threads. Experimental results show that the proposed boltÿaligning and tightening strategy can achieve the work timely and have highÿefficiency.

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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TY  - CONF
AU  - Liqiang ZHONG
AU  - Shaosheng FAN
AU  - Ruoyun LI
AU  - Di YANG
PY  - 2017/07
DA  - 2017/07
TI  - The Study of Control Strategy for Bolt Tightening Robot on Power Transmission Lines
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 294
EP  - 300
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.64
DO  - 10.2991/eia-17.2017.64
ID  - ZHONG2017/07
ER  -