Friction Compensation in Hybrid Force/Velocity Control for Contour Tracking Tasks

Nowadays robots in industrial settings are mainly used for repetitive tasks where they act as programmable devices reproducing previously recorded motions in a highly structured environment so that decision and initiative ca-pability is rarely exploited. Contour tracking is, on the contrary, an example of a complex task that requires the manipulator to continuously and autono-mously modify its path, coping with the uncertainties typical of unstructured environments (Siciliano & Villani, 1999). In many applications a robot is re-quired to follow a contour while applying a normal force; these tasks include grinding (Thomessen & Lien, 2000), deburring (Ferretti et al., 2000; Ziliani et al., 2005), shape recovery (Ahmad & Lee, 1990), polishing and kinematic cali-bration (Legnani et al., 2001). The problem of tracking (known and) unknown contours has been studied by many researchers in the last two decades. Hybrid force/velocity control (Raibert & Craig, 1981) appears to be suitable to be adopted in this context, because it explicitly controls the end-effector force in a selected direction and the end-effector velocity in the other complemen-tary directions. Actually, two kinds of hybrid force/velocity control can be implemented (Roy & Whitcomb, 2002): 1)

[1]  Francis L. Merat,et al.  Introduction to robotics: Mechanics and control , 1987, IEEE J. Robotics Autom..

[2]  Antonio Visioli,et al.  Gain Scheduling for Hybrid Force/Velocity Control in Contour Tracking Task , 2006 .

[3]  M. Indri,et al.  Nonlinear friction estimation for digital control of direct-drive manipulators , 2003, 2003 European Control Conference (ECC).

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

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

[6]  Antonio Visioli,et al.  Adaptive friction compensation for industrial robot control , 2001, 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556).

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

[8]  Trygve Thomessen,et al.  Robot control system for safe and rapid programming of grinding applications , 2000 .

[9]  Louis L. Whitcomb,et al.  Adaptive force control of position/velocity controlled robots: theory and experiment , 2002, IEEE Trans. Robotics Autom..

[10]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[11]  Joris De Schutter,et al.  Compliant robot motion: task formulation and control , 1986 .

[12]  Bodo Heimann,et al.  IDENTIFICATION AND COMPENSATION OF GEAR FRICTION FOR MODELING OF ROBOTS , 1997 .

[13]  Bruno Siciliano,et al.  Robot Force Control , 2000 .

[14]  Carlos Canudas de Wit,et al.  Friction Models and Friction Compensation , 1998, Eur. J. Control.

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

[16]  Richard Volpe,et al.  A theoretical and experimental investigation of explicit force control strategies for manipulators , 1993, IEEE Trans. Autom. Control..

[17]  Antonio Visioli,et al.  Optimized Dynamic Calibration of a SCARA Robot , 2002 .

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

[19]  G. Ziliani,et al.  A Mechatronic Design for Robotic Deburring , 2005, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[20]  Suguru Arimoto,et al.  Adaptive model-based hybrid control of geometrically constrained robot arms , 1997, IEEE Trans. Robotics Autom..