Velocity observer based fuzzy PD+I based hybrid force/position control of an industrial robot

A velocity observer based hybrid fuzzy PD+I (VOB-FPD+I) based force plus position controller has been proposed which works well with unspecified robot dynamics for a robot manipulator under constraint environment for unknown joint velocities. The VOB-FPD+I controller has been utilized as a principal controller to be tuned up by orthodox PID gains throughout the complete trajectory tracking process. The validity of the proposed controller has been studied using a 6-Degree of Freedom (DOF) PUMA robot manipulator. The projected hybrid VOB-FPD+I force/position controller followed the desired path closer and smoother.

[1]  Li-Chen Fu,et al.  Intelligent robot deburring using adaptive fuzzy hybrid position/force control , 2000, IEEE Trans. Robotics Autom..

[2]  Madan M. Gupta,et al.  Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems , 2003 .

[3]  Y. Karayiannidis,et al.  Force/position tracking for a robotic finger in compliant contact with a surface using neuro-adaptive control , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[4]  Richard P. Paul,et al.  Hybrid control of robot manipulators , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

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

[6]  R.V. Patel,et al.  A Robust Position and Force Control Strategy for 7-DOF Redundant Manipulators , 2009, IEEE/ASME Transactions on Mechatronics.

[7]  Toshio Fukuda,et al.  Position/force control of robot manipulators for geometrically unknown objects using fuzzy neural networks , 2000, IEEE Trans. Ind. Electron..

[8]  Jay A. Farrell,et al.  Design of an enhanced hybrid fuzzy P+ID controller for a mechanical manipulator , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[9]  A. Tornambè,et al.  High-gain observers in the state and estimation of robots having elastic joints , 1989 .

[10]  Oscar Castillo,et al.  Intelligent adaptive model-based control of robotic dynamic systems with a hybrid fuzzy-neural approach , 2003, Appl. Soft Comput..

[11]  Xiaoou Li,et al.  Pd Control of robot with velocity estimation and uncertainties compensation , 2006, Int. J. Robotics Autom..

[12]  Ya Lei Sun,et al.  Hybrid fuzzy control of robotics systems , 2004, IEEE Transactions on Fuzzy Systems.

[13]  Nabil Derbel,et al.  Fuzzy control of robot manipulators , 2002 .

[14]  Rafael Kelly,et al.  PD control with feedforward compensation for robot manipulators: analysis and experimentation , 2001, Robotica.

[15]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[16]  Guanrong Chen,et al.  Fuzzy PID controller: Design, performance evaluation, and stability analysis , 2000, Inf. Sci..

[17]  C. C. Wit,et al.  Adaptive control of robot manipulators via velocity estimated feedback , 1992 .

[18]  George A. Rovithakis,et al.  Force/position tracking for a robotic manipulator in compliant contact with a surface using neuro-adaptive control , 2007, Autom..

[19]  Nagarajan Sukavanam,et al.  Neural network based hybrid force/position control for robot manipulators , 2011 .

[20]  Simon X. Yang,et al.  A simple hybrid fuzzy PD controller , 2004 .

[21]  Oussama Khatib,et al.  The explicit dynamic model and inertial parameters of the PUMA 560 arm , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[22]  G. M. Khoury,et al.  Fuzzy PID Control of a Five DOF Robot Arm , 2004, J. Intell. Robotic Syst..

[23]  Meng Joo Er,et al.  Hybrid fuzzy control of robotics systems , 2004, IEEE Trans. Fuzzy Syst..

[24]  Carlos Canudas de Wit,et al.  Adaptive control of robot manipulators via velocity estimated feedback , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.