The Study of Control Strategy for Bolt Tightening Robot on Power Transmission Lines
- 10.2991/eia-17.2017.64How to use a DOI?
- sensor fusion; kalman filter; least square method; interest area; infrared detection; torque coefficient control
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.
- © 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 - 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 -