Control of a Pneumatic Gantry Robot With Adaptive Neural Network Compensation

In a previous paper, the application of a pneumatic gantry robot to contour tracking was examined. A hybrid controller was structured to control the contact force and the tangential velocity, simultaneously. Performance was found to be limited by system lag and Coulomb friction. A neural network (NN) compensator was subsequently developed to counter both effects. Simulation results for straight and curved edge workpieces demonstrated the effectiveness of the NN compensator. This paper validates the results experimentally, highlights the tuning issues associated with an adaptive NN compensator, and confirms the capabilities of a pneumatic gantry robot.Copyright © 2010 by ASME

[1]  Yunsheng Li,et al.  A study on neural network control of explosion-proof 2-link pneumatic manipulator , 2003, Proceedings 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003).

[2]  Shu Ning,et al.  Experimental Comparison of Position Tracking Control Algorithms for Pneumatic Cylinder Actuators , 2007, IEEE/ASME Transactions on Mechatronics.

[3]  Somyot Kaitwanidvilai,et al.  Force control in a pneumatic system using hybrid adaptive neuro-fuzzy model reference control , 2005 .

[4]  Brian Surgenor,et al.  Force/Velocity Control of a Pneumatic Gantry Robot for Contour Tracking With Neural Network Compensation , 2008 .

[5]  Xuesong Wang,et al.  Modeling and control for pneumatic manipulator based on dynamic neural network , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[6]  Gi Sang Choi,et al.  A study on tracking position control of pneumatic actuators using neural network , 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

[7]  Yildirim Hurmuzlu,et al.  A High Performance Pneumatic Force Actuator System: Part II—Nonlinear Controller Design , 2000 .

[8]  K. S. Rattan,et al.  Pneumatic cylinder trajectory tracking control using a feedforward multilayer neural network , 1997, Proceedings of the IEEE 1997 National Aerospace and Electronics Conference. NAECON 1997.

[9]  Frank L. Lewis,et al.  Neural Network Control of Robot Manipulators , 1996, IEEE Expert.

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

[11]  F. L. Lewis,et al.  Neural-network predictive control for nonlinear dynamic systems with time-delay , 2003, IEEE Trans. Neural Networks.

[12]  Mohammed Y. Hassan,et al.  Design of a neural network based intelligent PI controller for a pneumatic system , 2008 .