On the use of a temperature based friction model for a virtual force sensor in industrial robot manipulators

In this paper we propose the use of a dynamic model in which the effects of temperature on friction are considered to develop a virtual force sensor for industrial robot manipulators. The estimation of the inertial parameters and of the friction model are explained. The effectiveness of the virtual force sensor has been proven in a polishing task. In fact, the interaction forces between the robot and the environment has been measured both with the virtual force sensor and a common load cell. Moreover, the advantages provided by considering the temperature dependency are highlighted.

[1]  Lőrinc Márton,et al.  Temperature dependent friction estimation: Application to lubricant health monitoring , 2012 .

[2]  Antonio Visioli,et al.  A New Friction Model for Mechanical Transmissions Considering Joint Temperature , 2016 .

[3]  V. van Geffen,et al.  A study of friction models and friction compensation , 2009 .

[4]  Peter J. Gawthrop,et al.  A nonlinear disturbance observer for robotic manipulators , 2000, IEEE Trans. Ind. Electron..

[5]  Alessandro De Luca,et al.  Collision Detection and Safe Reaction with the DLR-III Lightweight Manipulator Arm , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Antonio Visioli,et al.  Friction modeling with temperature effects for industrial robot manipulators , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[7]  A. C. Bittencourt,et al.  Static Friction in a Robot Joint—Modeling and Identification of Load and Temperature Effects , 2012 .

[8]  Edward J. Berger,et al.  Friction modeling for dynamic system simulation , 2002 .

[9]  Giacomo Bianchi,et al.  Minimization of the Energy Consumption in Motion Planning for Single-robot Tasks☆ , 2015 .

[10]  Reza Haghighi,et al.  Lyapunov-Based Nonlinear Disturbance Observer for Serial n-Link Robot Manipulators , 2009, J. Intell. Robotic Syst..

[11]  Carlos Canudas de Wit,et al.  A new model for control of systems with friction , 1995, IEEE Trans. Autom. Control..

[12]  Wisama Khalil,et al.  On the identification of the inertial parameters of robots , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[13]  Krzysztof Kozłowski,et al.  Modelling and Identification in Robotics , 1998 .

[14]  F. Al-Bender,et al.  A generalized Maxwell-slip friction model appropriate for control purposes , 2003, 2003 IEEE International Workshop on Workload Characterization (IEEE Cat. No.03EX775).

[15]  P. Dahl.  A Solid Friction Model , 1968 .

[16]  Alessandro De Luca,et al.  Estimation of contact forces using a virtual force sensor , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Lorenzo Molinari Tosatti,et al.  Optimal robot dynamics local identification using genetic-based path planning in workspace subregions , 2013, 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.