Adaptive Energy-Bounding Approach for Robustly Stable Interaction Control of Impedance-Controlled Industrial Robot With Uncertain Environments

Even though impedance control approaches are useful for robot interaction control, they can guarantee stability only for the assumed range of the environments. This paper presents a new adaptive energy-bounding approach (EBA) that can maintain a desired contact force at steady state while guaranteeing robust contact stability for impedance-controlled industrial robots that are contacting with very uncertain environments beyond the assumed range of the environments. The proposed adaptive EBA that is applied to impedance-controlled industrial robots interacting with incompletely specified real environments is an extension of the haptic EBA, which was previously developed for stable haptic interaction with virtual environments. Moreover, the adaptive EBA estimates online control parameters to improve performance while assuring stability for the system. Theoretical analyses on the performance and experimental results demonstrate the effectiveness of the proposed approach.

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

[2]  D.T. Surdilovic Contact transition stability in the impedance control , 1997, Proceedings of International Conference on Robotics and Automation.

[3]  Martin Buss,et al.  Force Tracking Impedance Control with Variable Target Stiffness , 2008 .

[4]  Miomir Vukobratovic,et al.  Contact control concepts in manipulation robotics-an overview , 1994, IEEE Trans. Ind. Electron..

[5]  Ganwen Zeng,et al.  An overview of robot force control , 1997, Robotica.

[6]  Blake Hannaford,et al.  Control of a flexible manipulator with noncollocated feedback: time-domain passivity approach , 2004, IEEE Transactions on Robotics.

[7]  Dragoljub Surdilovic Robust control design of impedance control for industrial robots , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Daniel E. Whitney,et al.  Historical Perspective and State of the Art in Robot Force Control , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[9]  Dragoljub Surdilovic,et al.  Robust robot compliant motion control using intelligent adaptive impedance approach , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[10]  Seul Jung,et al.  Neural network impedance force control of robot manipulator , 1998, IEEE Trans. Ind. Electron..

[11]  Wayne J. Book,et al.  Force reflecting teleoperation with adaptive impedance control , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[12]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation: Part I—Theory , 1985 .

[13]  K. Hashtrudi-Zaad,et al.  Adaptive Teleoperation Control using Online Estimate of Operator's Arm Damping , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[14]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation , 1984, 1984 American Control Conference.

[15]  Wayne J. Book,et al.  Environment estimation for enhanced impedance control , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[16]  N. Hogan,et al.  Impedance Control:An Approach to Manipulation,Parts I,II,III , 1985 .

[17]  Bruno Siciliano,et al.  A survey of robot interaction control schemes with experimental comparison , 1999 .

[18]  Miomir Vukobratovic,et al.  Dynamics and Robust Control of Robot-Environment Interaction , 2009, New Frontiers in Robotics.

[19]  Jong-Phil Kim,et al.  Robustly Stable Haptic Interaction Control using an Energy-bounding Algorithm , 2010, Int. J. Robotics Res..

[20]  Keyvan Hashtrudi-Zaad,et al.  Real-Time Identification of Hunt–Crossley Dynamic Models of Contact Environments , 2012, IEEE Transactions on Robotics.