Intelligent Switching Control of a Pneumatic Muscle Robot Arm using Learning Vector Quantization Neural Network

Pneumatic cylinders are one of the low-cost actuation sources used in industrial and prosthetic application, since they have a high power/weight ratio, high-tension force and long durability. However, problems with the control, oscillatory motion and compliance of pneumatic systems have prevented their widespread use in advanced robotics. To overcome these shortcomings, a number of newer pneumatic actuators have been developed, such as the McKibben Muscle, Rubber Actuator and Pneumatic Artificial Muscle (PAM) Manipulators. In this paper, the solution for position control of a robot arm with slow motion driven by two pneumatic artificial muscles is presented. However, some limitations still exist, such as a deterioration of the performance of transient response due to the changes in the external load. To overcome this problem, a switching algorithm of the control parameter using a learning vector quantization neural network (LVQNN) is proposed in this paper. The LVQNN estimates the external load of the pneumatic artificial muscle manipulator. The effectiveness of the proposed control algorithm is demonstrated through experiments with different external working loads.

[1]  K.S. Rattan,et al.  Fuzzy logic control of a pneumatic muscle system using a linearing control scheme , 2003, 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003.

[2]  O. Sawodny,et al.  Cascaded control concept of a robot with two degrees of freedom driven by four artificial pneumatic muscle actuators , 2005, Proceedings of the 2005, American Control Conference, 2005..

[3]  Darwin Gordon Caldwell.  Compliant polymeric actuators as robot drive units , 1989 .

[4]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

[5]  Daniel W. Repperger,et al.  Fuzzy PD+I learning control for a pneumatic muscle , 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

[6]  Darwin G. Caldwell,et al.  Control of pneumatic muscle actuators , 1995 .

[7]  Patrick van der Smagt,et al.  Analysis and control of a rubbertuator arm , 1996, Biological Cybernetics.

[8]  Darwin G. Caldwell,et al.  Adaptive position control of antagonistic pneumatic muscle actuators , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[9]  Kyoung Kwan Ahn,et al.  Intelligent control of pneumatic actuator using LVQNN , 2003, 7th Korea-Russia International Symposium on Science and Technology, Proceedings KORUS 2003. (IEEE Cat. No.03EX737).

[10]  Darwin G. Caldwell,et al.  Braided Pneumatic Muscle Actuators , 1993 .

[11]  Patrick van der Smagt,et al.  Neural Network Control of a Pneumatic Robot Arm , 1994, IEEE Trans. Syst. Man Cybern. Syst..

[12]  Kyoung Kwan Ahn,et al.  Design and experimental evaluation of a robust force controller for a 6-link electro-hydraulic manipulator via h∞ control theory , 2003 .

[13]  Russell W. Henke.  Introduction to Fluid Power Circuits and Systems , 1970 .

[14]  Bertrand Tondu,et al.  Naturally compliant robot-arms actuated by McKibben artificial muscles , 1994, Proceedings of IEEE International Conference on Systems, Man and Cybernetics.

[15]  Kyoung Kwan Ahn.  Development of Force Reflecting Joystick for Hydraulic Excavator , 2004 .

[16]  K. Osuka,et al.  W" CONTROL OF A CERTAIN NONLINEAR ACTUATOR , 1990 .

[17]  Kazuhiko Kawamura,et al.  Intelligent control using a neuro-fuzzy network , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[18]  N. Tsagarakis,et al.  A 7 DOF pneumatic muscle actuator (pMA) powered exoskeleton , 1999, 8th IEEE International Workshop on Robot and Human Interaction. RO-MAN '99 (Cat. No.99TH8483).

[19]  R. Quinn,et al.  Modeling of braided pneumatic actuators for robotic control , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[20]  Nikolaos G. Tsagarakis,et al.  Development of a pneumatic muscle actuator driven manipulator rig for nuclear waste retrieval operations , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).