Experimental external force estimation using a non-linear observer for 6 axes flexible-joint industrial manipulators

This paper proposes a non-linear observer to estimate not only the state (position and velocity) of links but also the external forces exerted by the robot during Friction Stir Welding (FSW) processes. The difficulty of performing this process with a robot lies in its lack of rigidity. In order to ensure a better tracking performance, the data such as real positions, velocities of links and external forces are required. However, those variations are not always measured in most industrial robots. Therefore, in this study, an observer is proposed to reconstruct those necessary parameters by using only measurements of motor side. The proposed observer is carried out on a 6 DOF flexible-joint industrial manipulator used in a FSW process.

[1]  Bin Yao,et al.  Observer-Based Adaptive Robust Control of Friction Stir Welding Axial Force , 2011 .

[2]  Sanjay E. Talole,et al.  Extended-State-Observer-Based Control of Flexible-Joint System With Experimental Validation , 2010, IEEE Transactions on Industrial Electronics.

[3]  Bin Yao,et al.  Observer‐based adaptive robust control of a class of nonlinear systems with dynamic uncertainties , 2001 .

[4]  Jinna Qin,et al.  Non-Linear Observer-Based Control of Flexible-Joint Manipulators Used in Machine Processing , 2012 .

[5]  M. Spong Modeling and Control of Elastic Joint Robots , 1987 .

[6]  Thomas B. Schön,et al.  Experimental comparison of observers for tool position estimation of industrial robots , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[7]  Wisama Khalil,et al.  Modeling, Identification and Control of Robots , 2003 .

[8]  Sang-Hun Lee,et al.  Disturbance observer based robust control for industrial robots with flexible joints , 2007, 2007 International Conference on Control, Automation and Systems.

[9]  Mrdjan Jankovic,et al.  Observer based control for elastic joint robots , 1995, IEEE Trans. Robotics Autom..

[10]  Costas Kravaris,et al.  Nonlinear observer design for state and disturbance estimation , 2004 .

[11]  M. Spong,et al.  Robot Modeling and Control , 2005 .

[12]  Wisama Khalil,et al.  SYMORO+: A system for the symbolic modelling of robots , 1997, Robotica.

[13]  Alessandro De Luca,et al.  An Acceleration-based State Observer for Robot Manipulators with Elastic Joints , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[14]  H. Bhadeshia,et al.  Recent advances in friction-stir welding : Process, weldment structure and properties , 2008 .

[15]  D.M. Vilathgamuwa,et al.  Robust adaptive control of a three-axis motion Simulator with state observers , 2005, IEEE/ASME Transactions on Mechatronics.

[16]  Xin Zhao,et al.  Empirical Dynamic Modeling of Friction Stir Welding Processes , 2007 .

[17]  Régis Bigot,et al.  Experimental investigation of the influence of the FSW plunge processing parameters on the maximum generated force and torque , 2010 .

[18]  R. Miranda,et al.  Process Developments and Materials Characterization in FSW/P , 2022 .