Elect Power Res Inst Guangdong Power Grid Co Ltd, Guangzhou 510080, Guangdong, Peoples R China.
语种：
英文
关键词：
sensor fusion;kalman filter;least square method;interest area;infrared detection;torque coefficient control
期刊：
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ELECTRONIC INDUSTRY AND AUTOMATION (EIA 2017)
ISSN：
1951-6851
年：
2017
卷：
145
页码：
294-300
会议名称：
International Conference on Electronic Industry and Automation (EIA)
会议论文集名称：
Advances in Intelligent Systems Research
会议时间：
JUN 23-25, 2017
会议地点：
Suzhou, PEOPLES R CHINA
会议主办单位：
[Zhong, Liqiang] Elect Power Res Inst Guangdong Power Grid Co Ltd, Guangzhou 510080, Guangdong, Peoples R China.^[Fan, Shaosheng;Li, Ruoyun;Yang, Di] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha, Hunan, Peoples R China.
主编：
Babaei, E Reig, C Sung, WT
出版地：
29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
出版者：
ATLANTIS PRESS
ISBN：
978-94-6252-373-9
基金类别：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61473049]
机构署名：
本校为其他机构
院系归属：
电气与信息工程学院
摘要：
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 bolt aligning and tightening strategy ca...
