Iterative-Learning Hybrid Force/Velocity Control for Contour Tracking

In this paper, we propose a new method, which is based on an iterative-learning-control (ILC) algorithm, for the contour tracking of an object of unknown shape performed by an industrial robot manipulator. In particular, we consider (both implicit and explicit) hybrid force/velocity control whose performance is improved by repeating the task. Here, a time-based reference signal is not present, and therefore, a new approach has been developed, which is different from the typical applications of ILC. Experimental results show the effectiveness of the technique.

[1]  Friedrich Lange,et al.  Iterative self-improvement of force feedback control in contour tracking , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[2]  Suguru Arimoto,et al.  Learning control for robot tasks under geometric endpoint constraints , 1995, IEEE Trans. Robotics Autom..

[3]  John J. Craig,et al.  Hybrid position/force control of manipulators , 1981 .

[4]  Seppo J. Ovaska,et al.  Angular acceleration measurement: a review , 1998, IEEE Trans. Instrum. Meas..

[5]  Shaheen Ahmad,et al.  Shape recovery from robot contour-tracking with force feedback , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[6]  Antonio Visioli,et al.  A mechatronic approach for robotic deburring , 2007 .

[7]  Farhad Aghili,et al.  A SELF-TUNING TORQUE FEEDBACK FOR CONTROL OF MANIPULATORS , 2006 .

[8]  Antonio Visioli,et al.  On the use of velocity feedback in hybrid force/velocity control of industrial manipulators , 2006 .

[9]  Mikael Norrlöf,et al.  On Analysis and Implementation of Iterative Learning Control , 1998 .

[10]  Paolo Rocco,et al.  Triangular force/position control with application to robotic deburring , 2000 .

[11]  Paolo Rocco,et al.  Toward the implementation of hybrid position/force control in industrial robots , 1997, IEEE Trans. Robotics Autom..

[12]  Richard W. Longman,et al.  Iterative learning control and repetitive control for engineering practice , 2000 .

[13]  P. R. Bélanger,et al.  Estimation of Angular Velocity and Acceleration from Shaft-Encoder Measurements , 1998, Int. J. Robotics Res..

[14]  Antonio Visioli,et al.  On the trajectory tracking control of industrial SCARA robot manipulators , 2002, IEEE Trans. Ind. Electron..

[15]  Antonio Visioli,et al.  Friction compensation in hybrid force/velocity control of industrial manipulators , 2006, IEEE Transactions on Industrial Electronics.

[16]  Kevin L. Moore,et al.  Iterative Learning Control: An Expository Overview , 1999 .

[17]  Louis L. Whitcomb,et al.  Adaptive force control of position/velocity controlled robots: theory and experiment , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).