Title :
Augmented Imaged Based Visual Servoing controller for a 6 DOF manipulator using acceleration command
Author :
Keshmiri, Mehdi ; Wen Fang Xie
Author_Institution :
Dept. of Mech. & Ind. Eng., Montreal, QC, Canada
Abstract :
This paper presents a new imaged based visual servoing controller called Augmented Imaged Based Visual Servoing (AIBVS) for a 6DOF manipulator. A proportional derivative (PD) controller is developed considering acceleration as the controlling command of the robot. This controller can achieve smooth and linear feature trajectory in image space and decrease the risk of features leaving the field of view. The developed control method also enhances the camera trajectory in 3D space. The stability of proposed method is fully investigated by using Lyapunov method and the perturbed systems theory. Being an IBVS method, this method also shows the robustness with respect to some camera calibration errors. Simulation results on a 6 DOF robotic systems validate the effectiveness of the proposed controller.
Keywords :
Lyapunov methods; PD control; acceleration control; cameras; control system synthesis; manipulator kinematics; robot vision; robust control; visual servoing; 3D space camera trajectory enhancement; 6-DOF manipulator; AIBVS; IBVS method; Lyapunov method; PD controller development; acceleration control command; augmented imaged-based visual servoing controller; camera calibration errors; image space field-of-view; perturbed system theory; proportional derivative controller development; robustness; smooth-linear feature trajectory; system stability; Acceleration; Cameras; Equations; Mathematical model; Stability analysis; Visual servoing;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426890