DocumentCode
1768618
Title
Fastening torque control for robotic screw driver under uncertain environment
Author
Chwan-Hsen Chen ; Wei-der Chong
Author_Institution
Dept. of Mech. Eng., Yuan Ze Univ., Chungli, Taiwan
fYear
2014
fDate
22-25 Oct. 2014
Firstpage
814
Lastpage
818
Abstract
In automatic screw tightening task, the fastening torque and the angular displacement of the screw have to be closely monitored in order to maintain good product quality. Most automatic screw fastening stations use torque sensors to monitoring the fastening process, and traditional strategy in automatic screw fastening is to limit the maximum value of the fastening toque. However, recent studies show that the relation between the fastening torque and the thread-in depth can be utilized to justify the fastening quality, especially for multi-layered workpiece screw fastening and for self-tapping screws. In order to identify the above-mentioned torque-depth pattern and to control the fastening torque and depth at the same time, we propose a servo control system with a disturbance observer to estimate the applied fastening torque without using a torque sensor to measure the fastening torque.
Keywords
fasteners; joining processes; motor drives; product quality; servomechanisms; state feedback; torque control; angular displacement; automatic screw tightening task; control voltage; disturbance observer; fastening process; fastening torque control; multilayered workpiece screw fastening; product quality; response time; robotic screw driver; screw driver motor; screw driver system; self-tapping screws; servo control system; state feedback controller; torque sensors; uncertain environment; Abstracts; Brushless motors; Jamming; Monitoring; Observers; Robustness; Servomotors; disturbance observer; screw driver; screw fastening automation; state-space control; torque estimator;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location
Seoul
ISSN
2093-7121
Print_ISBN
978-8-9932-1506-9
Type
conf
DOI
10.1109/ICCAS.2014.6987891
Filename
6987891
Link To Document